Below every paper are TOP 100 most-occuring words in that paper and their color is based on LDA topic model with k = 7.
(It looks like 0 = theory, 1 = reinforcement learning, 2 = graphical models, 3 = deep learning/vision, 4 = optimization, 5 = neuroscience, 6 = embeddings etc.)
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Random Utility Theory for Social Choice
Hossein Azari, David Parks, Lirong Xia
Hossein Azari, David Parks, Lirong Xia
[order, ranking, algorithm, set, theorem, bounded, case, probability, partial, true, lemma, consider, path, maximize, theory, sense, provide, chosen, subset, adopt] [approach, utility, choice, function, preference, focus, expectation] [likelihood, normal, model, number, social, distribution, inference, maximum, alternative, monte, compute, election, carlo, parameter, predictive, gibbs, exj, lirong, public, bayesian, exponential, gumbel, rum, full, latent] [global, figure, ground, location, truth, corresponds, evaluate, apply, randomly] [random, condition, rank, problem, suppose, method, correlation, concave, estimated, theoretical, kendall] [mle] [data, performance, better, dataset, variance, synthetic, linear, learning]
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
Alexandra Carpentier, Remi Munos
Alexandra Carpentier, Remi Munos
[algorithm, stratum, lemma, bound, oracle, order, asymptotic, measure, consider, uniform, lower, provide, crude, allocates, differentiable, assume, prove, proof, uniformly, write, sequence, quantity, budget, smaller, access, diameter, call, admits, fact, result, asymptotically, theorem, stratify, paper, main, rounding, probability, negligible, aim, carpentier, discrepancy, allocating, allocate] [function, optimal, domain, strategy, intuition, taylor, good, adapt, provided] [sampling, number, sample, partition, monte, carlo, supplementary, expansion, will, integral] [larger, build] [estimate, assumption, random, quasi, constant, rate, low, problem] [adaptive, material, integration] [squared, error, point, variance]
Causal discovery with scale-mixture model for spatiotemporal variance dependencies
Zhitang CHEN, Kun ZHANG, Laiwan CHAN
Zhitang CHEN, Kun ZHANG, Laiwan CHAN
[lemma, algorithm, assume, note, true, series, energy] [assumed, observation, conference, based] [model, sample, observed, log, ordering, structure, discovery, latent, gaussian, factor, variable, component, generated, confounders, place] [temporal, figure, structural, randomly, discovered, level, second] [causal, contemporaneous, independent, lingam, spatiotemporal, stock, matrix, estimate, assumption, estimation, estimated, method, propose, size, causality, investigate, journal, acyclic, autoregressive, dft, problem, zhang, rxy, multivariate, ftse] [time, temporally, mechanism, neural, signal, svar] [variance, linear, data, proposed, selected, real, vector, learning, table, machine, synthetic, large]
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
Aaron Wilson, Alan Fern, Prasad Tadepalli
Aaron Wilson, Alan Fern, Prasad Tadepalli
[query, set, active, measure, algorithm, consider, change, length, learner, energy, disagreement, comparison, example] [policy, expert, state, trajectory, function, agent, tpq, bicycle, initial, tpqs, expected, preference, approach, action, based, evaluation, strategy, acrobot, domain, car, generating, control, goal, cart, mountain, reward, pole, knowledge, start, reinforcement, describe, starting, current, benchmark] [distribution, posterior, model, generated, generate, pair, latent, sampling, prior, bayesian, hmc, inference, sample, number, variational, will] [target, work, simple, produce, learn, feature, map] [random, gradient, problem, estimate, step] [response, desired, selective, velocity] [learning, selection, select, data, space, performance, machine, vector, distance, dissimilarity]
Training sparse natural image models with a fast Gibbs sampler of an extended state space
Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge
Lucas Theis, Jascha Sohl-Dickstein, Matthias Bethge
[algorithm, statistical, probability, set, best, case, change, variant] [optimal, transition, average, additional, international, based, standard] [overcomplete, model, sampling, gibbs, distribution, posterior, sampler, markov, gaussian, blocked, hmc, will, chain, nullspace, inference, laplace, mala, olshausen, autocorrelation, hidden, likelihood, number, computational, monte, sample, latent, marginals, overcompleteness, chen, carlo, prior, marginal, gaussians, log, pot] [source, image, figure, training, gsm, single, contrast, representation, local] [sparse, convergence, journal, estimate, toy, constrained, dkl] [basis, natural, complete, persistent, neural, study, time, making] [linear, learning, data, advantage, machine, better, performance, point]
Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Sander Bohte, Pieter Roelfsema
Jaldert Rombouts, Sander Bohte, Pieter Roelfsema
[set, probability, highest] [reward, decision, action, reinforcement, correct, required] [model, probabilistic, assigned] [layer, trained, learn, target, training, learns] [convergence, stochastic] [memory, synaptic, association, working, activity, feedback, sensory, cue, network, unit, augment, regular, signal, cortex, trial, neural, input, neuromodulatory, feedforward, activation, biologically, red, plausible, relevant, mark, evidence, motor, time, represent, green, mechanism, computed, agjk, dopamine, persistent, vlm, winning, agij, responsible, left, integrate, shaping, tuned, plasticity, nature, explains, aglm, attentional, difference, presented] [learning, task, scheme, mapping, error, binary]
Deep Representations and Codes for Image Auto-Annotation
Ryan Kiros, Csaba Szepesvari
Ryan Kiros, Csaba Szepesvari
[set, denote, algorithm, best, follow, introduce, length] [standard, approach, tile, average] [number, model, hierarchical, sample, collection, base] [image, training, module, annotation, feature, second, perform, deep, representation, layer, learned, cross, figure, multiple, tagprop, single, spatial, unsupervised, matching, pooling, top, color, larger, coates, pooled, apply, performed, retrieval, pixel, extract, stride] [dictionary, size, extraction, optimization, sparse, successful] [natural, coding, input, receptive, tag] [learning, distance, performance, dataset, test, existing, large, small, linear, selection, metric, binary, table, hamming, code, vector, nearest, construct]
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling
Antonino Freno, Mikaela Keller, Marc Tommasi
Antonino Freno, Mikaela Keller, Marc Tommasi
[set, statistical, order, probability, respect, suitable, result, paper, denote, prove, divergence] [approach, parametric, function, neighboring] [fiedler, xuv, model, guv, frfs, structure, frf, distribution, concerning, delta, modeling, number, degree, pair, observed, node, conditional, form, vuv, mlp, link, involved, sample, sampling, variable, markov, allows, euv, subgraphs, xwz, undirected, prior, aimed, unwarranted, nonparametric, hepth] [accuracy, training, contrastive, target, work, second] [graph, random, dependence, size, edge, eigenvalue, subgraph, spectral, estimate, assumption, arxiv, estimation, proposition, estimating, objective] [network, prediction, potential, basic, connected] [learning, laplacian, statistic, data, smallest]
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
Thomas Furmston, David Barber
Thomas Furmston, David Barber
[considered, term, algorithm, notation, consider, note, property, denote, example] [approximate, policy, ascent, expectation, state, reward, maximisation, function, search, parametric, decision, expected, total, mdp, standard, reinforcement, planning, trajectory, current, action, control, transition, wmean, provided, choice, agent] [parameter, form, will, markov, log, update, supplementary, full, distribution, inference] [experiment, training, performed, second, local] [newton, gradient, method, steepest, objective, matrix, diagonal, analysis, quadratic, optimisation, desirable, plot, hessian, application, optimum, convergence, derivative] [natural, system, direction, fisher, dynamic, plotted, negative, difference] [space, linear, learning, machine, performance, error, large]
Tight Bounds on Profile Redundancy and Distinguishability
Jayadev Acharya, Hirakendu Das, Alon Orlitsky
Jayadev Acharya, Hirakendu Das, Alon Orlitsky
[redundancy, probability, lemma, def, bound, sequence, length, universal, upper, multiset, alphabet, minimax, distinguishable, consider, induced, class, set, testing, lower, uniform, minimum, element, result, easy, theorem, multiplicity, denote, regret, proof, closeness, divergence, assign, diminishing, hypothesis, online, uniformly, consists] [expected, unknown, describe, choice] [distribution, log, number, collection, generated, poisson, partition, discrete, sampling, will] [ieee, pattern, sum, learned] [entropy, random, size, compression, rate, needed, essentially, estimation, compressed] [encode, determined, increase, coding, symbol, power] [large, learning, code, largest, binary, machine, improving, data, well]
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, David Duvenaud, Roman Garnett, Carl Rasmussen, Stephen Roberts, Zoubin Ghahramani
Michael Osborne, David Duvenaud, Roman Garnett, Carl Rasmussen, Stephen Roberts, Zoubin Ghahramani
[active, assume, true, note, statistical, choose, term, set, algorithm] [function, expected, approach, uncertainty, approximate, standard, decision] [log, bayesian, posterior, likelihood, hyperparameters, model, prior, quadrature, gaussian, sampling, monte, bbq, sample, integral, carlo, number, will, clog, marginal, smc, inference, university, mlog, chain, exp, distribution, marginalisation, marginalising, integrand, evaluating, linearisation, compute, computing, permitted, mlii, bmc, modelling, hyperparameter, ale] [figure, evaluate, scale, second, previous, work, location, truth, single] [method, estimate, numerical, convergence, estimated, high, covariance, novel, independent] [evidence, integration, input, tested, computed, negative] [variance, small, learning, real, synthetic, select, data, better, table]
Relax and Randomize : From Value to Algorithms
Sasha Rakhlin, Ohad Shamir, Karthik Sridharan
Sasha Rakhlin, Ohad Shamir, Karthik Sridharan
[relt, online, rademacher, inf, algorithm, regret, complexity, minimax, bound, loss, lemma, consider, follow, upper, learner, transductive, leader, perturbed, version, set, supremum, classical, bounded, case, class, sequence, provide, example, respect, uniform, simultaneously, proof, regt, recipe, playout] [admissible, sequential, round, strategy, optimal, idea, game, based, expected, function, expectation] [distribution, conditional, draw, exp, sampling, exponential, log, will, develop, development] [view] [relaxation, random, convex, matrix, assumption, problem, norm, method, proposition, argmin, optimization, involves, completion, constant, suppose, descent, entry] [unit, prediction, study, static, nature, equation, potential] [learning, randomized, trace, ball, space, linear, admissibility, binary]
Bayesian nonparametric models for ranked data
Francois Caron, Yee Whye Teh
Francois Caron, Yee Whye Teh
[probability, partial, list, measure, note, ranking, consider, derived, set, extension, statistical, theorem, case, write, paper, derive, easily, branching, series, algorithm] [choice, approach, continuous, simply, total, desirability, atomic] [model, gamma, nonparametric, posterior, bayesian, gibbs, process, law, will, update, parameter, conditional, atom, distribution, prior, observed, sampler, mass, inference, exp, wtk, number, joint, described, latent, ctk, arrive, york, modeling, sampling, mutually, sample, completely, discrete, develop, form, associated] [figure, simple, appear, previous] [random, journal, dependence, normalized, positive, independent, distributed, corresponding, suppose, stochastic] [time, auxiliary, ith, dynamic, limit] [item, rating]
Privacy Aware Learning
John Duchi, Michael Jordan, Martin Wainwright
John Duchi, Michael Jordan, Martin Wainwright
[loss, statistical, theorem, lower, assume, upper, set, risk, minimax, theory, case, guarantee, measure, inf, version, denote, datum, access, extreme, sharp, main, bound, corollary, symposium, probability, class, radius, perturbed, bounded, consider, supported, survey] [optimal, function, saddle, approach] [distribution, conditional, log, sample, collection, parameter, allows] [local, second, view, level, characterize, apply] [stochastic, mutual, convergence, random, estimation, convex, method, gradient, proposition, subgradient, procedure, descent, journal, supp, rate, entropy, norm] [natural, study, amount, channel, regular] [privacy, data, learning, private, point, compact, differential, error, differentially, approximation]
Feature-aware Label Space Dimension Reduction for Multi-label Classification
Yao-Nan Chen, Hsuan-Tien Lin
Yao-Nan Chen, Hsuan-Tien Lin
[label, loss, algorithm, bound, minimizes, set, called, minimizing, equivalent, consider, design] [approach, optimal, conference] [number, conditional, parameter, component, enron] [feature, figure, transformation, canonical, training, scene, medical, unsupervised, three] [matrix, problem, correlation, min, analysis, singular, optimization] [prediction, encoding, principal, effective, experimental, coupled, decoding] [cplst, plst, error, regression, lsdr, space, linear, kernel, zvt, dimension, hamming, learning, occa, cca, reduction, better, ridge, vector, table, test, supervised, fsdr, machine, performance, dataset, regularization, zwz, vvt, pbr, considers, binary, xwx, code, orthogonal, national, taiwan, original, row, worse, small, yeast, data]
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging
Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling Johnson
Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling Johnson
[rademacher, complexity, set, note, margin, bound, result, derived, theorem, arbitrary, comparison, mixing, order, setting, algorithm] [standard, domain, state, function, knowledge] [base, model, will, disease, structure, cluster, form] [feature, multiple, performed, imaging, image, directly, combined, sum, trained, accuracy, spatial, module, exploit] [problem, entropy, norm, optimization, quadratic, penalty, convex, method, min, dual, solve, program, density, objective, solution, support] [prediction, effectively, brain, optimized] [kernel, mkl, learning, virtual, renyi, svm, combination, vector, relative, generalizes, space, neuroimaging, error, large, linear, data, proposed, regularizer, constraint, regularization, relates, tbm, art, laplacian]
Multiresolution Gaussian Processes
Emily Fox, David Dunson
Emily Fox, David Dunson
[cut, set, assume, consider, statistical, smoothness, series, empirical] [function, based, key, standard, approach, cost] [partition, mgp, tree, hierarchical, likelihood, gps, process, parent, gaussian, predictive, heldout, abrupt, marginal, meg, proposal, posterior, distribution, generated, structure, model, log, sharing, prior, allows, inference, conditioned, word, collection, changepoints, bayesian, hgp, sample, conjugacy, modeling, mcmc] [global, level, figure, local, capture, compare, temporal, single] [covariance, normalized, correlation, analysis, smooth, matrix, formulation] [time, visual, input, trial, additive, neural] [data, shared, multiresolution, functional, point, binary, common, proposed]
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen
Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen
[online, set, probability, algorithm, best, consider] [approach, correct, knowledge, based, start, average] [language, model, will, prior, number, forward, bayesian, full, update, backward, initialization, distribution] [character, spelling, unsupervised, subject, eeg, tri, training, speller, uni, trigram, trained, figure, train, work, single, spell, wold, second, supervisedly, ieee, spelled, accuracy, computer, incorporating, period, tatri, previous, akimpech, randomly, compared, incorporation] [method, application, graphical, pass] [transfer, time, desired, weight, bci, brain, adaptive, neural, interface, adaptation, limited, computed, basic, processing] [learning, dataset, test, proposed, supervised, performance, text, data, table, vector, linear, letter]
Learning about Canonical Views from Internet Image Collections
Elad Mezuman, Yair Weiss
Elad Mezuman, Yair Weiss
[hypothesis, called, algorithm, provide, set, true, returned, decide, change, example] [search, conference, international, simply, preference] [number, will, distribution] [view, canonical, image, frequent, object, gist, human, internet, computer, mode, palmer, category, psychophysical, figure, automatic, vision, parzen, second, recognition, descriptor, imagenet, ieee, viewpoint, corresponds, manually, formal, google, bounding, work, cognitive, experiment, retrieved, maximal, horse, center, cropped, reveal, shape, downloaded, pattern, iconic, proxy, learn, notre] [method, density, strong, estimation] [preferred, phase, presented, visual, frequency, basic, output, perception] [similarity, small, clustering, large, verify, space, manual, dataset, data]
MCMC for continuous-time discrete-state systems
Vinayak Rao, Yee Whye Teh
Vinayak Rao, Yee Whye Teh
[interval, set, algorithm, probability, length, sequence, smaller, note, observe] [state, trajectory, function, observation, approach, cost, continuous, conference, temperature] [sampler, smjp, mcmc, particle, hazard, markov, poisson, process, thinning, thinned, sampling, event, jump, ass, tend, discretization, sample, inference, number, distribution, uniformization, parameter, dominating, posterior, chain, leaving, pmcmc, model, monte, bvi, likelihood, will, computational, weibull, resample] [second, figure, simple, three, scale, applied] [rate, random, distributed, constant, independent, step, general, truncated, proposition, stochastic] [time, system, effective, unit, waiting, represent, population, long] [candidate, large, equal]
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch
Assaf Glazer, Michael Lindenbaoum, Shaul Markovitch
[set, ocsvm, ocnm, theorem, change, respect, statistical, bep, note, polonik, version, israel, introduce, annals, measure, reference, distributional, fraction, algorithm, hold, minimum, probability, best, asymptotically, quantile, assume] [approach, decision, based, function, expected, evaluated, average] [hierarchical, distribution, nonparametric, number, associated, sample] [training, detection, figure, precision, level, region, previous, recall, second] [density, method, estimation, estimator, estimated, estimate, generalized, practical, solution, multivariate, estimating, symmetric, sparsity] [input, difference, time, represent] [test, data, learning, kernel, space, distance, averaged, equal, neighbor]
Affine Independent Variational Inference
Edward Challis, David Barber
Edward Challis, David Barber
[bound, class, logistic, set, respect, lower, consider, example, true, partial, complexity, term, divergence, probability] [approximate, standard, optimal, expectation, sampled, provided, function] [gaussian, base, log, inference, variational, bayesian, distribution, likelihood, number, site, prior, whilst, ntrn, qud, model, laplace, bai, marginal, posterior, supplementary, computational, integral, form, latent, skewness] [bounding, training, figure, transform, target, local, evaluate] [density, multivariate, method, dimensional, sparse, robust, entropy, stable, independent, jointly, procedure] [lattice, neural, processing, presented, computation, equation, difference, accurately] [regression, approximation, fourier, linear, approximating, data, test, machine, special, learning, kernel]
Algorithms for Learning Markov Field Policies
Abdeslam Boularias, Oliver Kroemer, Jan Peters
Abdeslam Boularias, Oliver Kroemer, Jan Peters
[set, algorithm, approximated, empirical, setting, probability] [policy, function, reward, optimal, bellman, state, approach, expected, reinforcement, apprenticeship, conference, search, action, friction, amn, deterministic, domain, knowledge, maxent, pendulum, provided, grasp, based, decision, international, cart, temperature] [distribution, markov, will, structure, indicates, sampling, inference, process, likelihood, exp] [feature, learned, object, track, handle, figure, structured] [matrix, random, problem, graph, high, entropy, inverse, corresponding, low, proposition, estimated, solution, successful, adjacency, solving, gradient, lagrangian] [equation, hand, surface, robot, basis, grasping, framework] [learning, error, kernel, point, machine, similarity, linear, proposed, space]
The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo, Bernhard Schölkopf
Francesco Dinuzzo, Bernhard Schölkopf
[theorem, lower, term, admits, set, denote, bounded, example, class, sequence, consider, minimized, characterization, proof, result, respect, observe, property, easy, mathematical, differentiable, assume, subset, probability, exists, loss, setting, prove] [choice, function, evaluation, focus] [form, component, number, allowing] [angle, second, aligned, convolution] [family, condition, type, minimizer, norm, problem, general, support, min, closed, subspace, analysis] [broad, study] [regularization, representer, functionals, linear, space, functional, hilbert, kernel, vector, nondecreasing, admit, semicontinuous, data, reproducing, radial, learning, existence, uniquely, ball, machine, point, orthogonal, large, rkhs]
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing
Shinsuke Koyama
Shinsuke Koyama
[divergence, empirical, lower, bayes, bound, lim, probability, result, derived, assume, statistical, introduce, approximated, note, order, depends, algorithm, interval, applicable, share] [function, good] [log, process, gamma, distribution, latent, degree, gaussian, posterior, parameter, formula, prior, model, generated, exp, examine, poisson] [three, figure, shape, temporal, scale, variation, larger, train, map, feature] [rate, constant, estimation, method, density, journal, numerical, family, theoretical, analysis, inverse, sin, estimate, achieves, stochastic] [spike, isi, lognormal, renewal, neural, time, encoding, cortical, represent, represents, spiking, phase, solid, decoding, determined, neuronal, decoder, ith, coding] [large, space, small]
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
Jacquelyn Shelton, Philip Sterne, Joerg Bornschein, Abdul-Saboor Sheikh, Joerg Luecke
Jacquelyn Shelton, Philip Sterne, Joerg Bornschein, Abdul-Saboor Sheikh, Joerg Luecke
[algorithm, set, active, main] [standard, optimal, average, function, observation, approach, max, transition] [model, prior, posterior, latent, distribution, generative, gibbs, inference, observed, sampling, gaussian, variational, inferred, computational, log, vivo, generated, component, bayesian, form, laplace, hidden, infer, likelihood, number] [image, simple, multimodal, single, combined, figure, sum, learned, work, maximal, training] [sparse, high, sparsity, exact, journal, dictionary, method, optimization] [coding, nonlinear, neural, visual, globular, receptive, natural, bimodal, latents, preselection, wdh, encoding, basis, superposition, study, gabor, noise, processing, left, emsteps] [data, learning, linear, combination, point, machine]
Learning optimal spike-based representations
ralph Bourdoukan, David Barrett, Christian Machens, Sophie Deneve
ralph Bourdoukan, David Barrett, Christian Machens, Sophie Deneve
[loss, derive, assume, case, term, set] [optimal, function, start, converges] [will, identical, variable] [single, representation, train, learn, simple, produce, target, bottom, work, previous] [rate, balance] [neuron, spike, network, rule, spiking, membrane, input, potential, synaptic, neural, equation, connectivity, balanced, plasticity, hebbian, represent, inhibitory, population, signal, time, excitatory, homogeneous, voltage, output, cortical, reset, neurosci, difference, connected, connection, presynaptic, dynamical, interpreted, weakly, strength, autapse, regime, excitation, stdp, interpret, producing, ith, weight, threshold, optimally, middle, recurrent, inhibition, asynchronous, deriving, correlated, postsynaptic] [learning, error, linear, large, small, point]
"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking"
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
[surrogate, ranking, loss, calibrated, risk, set, theorem, calibration, respect, err, prove, lemma, pairwise, consider, result, proof, characterization, implies, assume, sort, induced, exists, algorithm, order, main, subset, implication, empirical, dag, studied, measure, induces, consequence, sigir, instance, proved, relevance] [evaluation, optimal, function, search, based, optimizing, average, approach, expected] [distribution] [scoring, three, directly, score] [convex, arg, rank, assumption, satisfy, denoted, general, analysis, minimization, low, min, optimization, technical] [feedback, framework, study, preferred, predicted, lead] [learning, metric, item, vector, inner, quality, better, point, table, sorting, permutation]
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction
Christoph Lampert
Christoph Lampert
[probability, set, case, example, main, note, runtime, statistical, pairwise, label, stopping, situation, ordinary, introduce, energy] [decision, function, pruning, approximate, correct, incomplete, based, uncertain] [sampling, marginal, sample, factor, number, gibbs, inference, variable, mmp, model, distribution, will, parameter, maximum, bayesian, joint, marginals, sampler, beta, conditional, computational, form, monte, chain, markov] [image, figure, training, accuracy, inpainting, learned, trained, pixel] [graphical, estimate, size, method, close, random, independent, estimated, graph, exact, propose] [adaptive, prediction, effective, early, time, difference, making] [binary, large, dataset, individual, learning, proposed, regularization, small]
A Generative Model for Parts-based Object Segmentation
S. M. Ali Eslami, Chris Williams
S. M. Ali Eslami, Chris Williams
[john, algorithm, chosen, probability, report, set, upper, lower] [average, simply] [model, inference, generative, probabilistic, hidden, joint, number, likelihood, chain, multinomial, fully, mixture, distribution, highly, generate, latent, comparable, split, performing, conditional] [shape, appearance, object, msbm, training, segmentation, boltzmann, image, ieee, pixel, sli, figure, sbm, fowlkes, nicolas, foreground, second, local, computer, body, trained, train, scoring, accuracy, thomas, layer, background, belonging, learned, work, learn, ism, vittorio, top, ethz] [random, strong] [account, variability, differ] [dataset, learning, test, data, machine, performance, datasets, labeled, quality, seed, table]
Local Supervised Learning through Space Partitioning
Joseph Wang, Venkatesh Saligrama
Joseph Wang, Venkatesh Saligrama
[empirical, reject, loss, multiclass, perceptron, logistic, surrogate, example, label, piecewise, consider, complexity, class, lemma, upper, minimize, comparison, algorithm, minimizing, approximated] [decision, approach, based, function, conference, optimizing, observation, cost, international] [number, lda, computational, associated, attempt] [local, training, region, global, trained, complex, feature, simple, discriminant, single, train, indicator, learn, randomly, figure, contrast] [problem, method, analysis, coordinate, family, descent, step, composite] [voted, linearly, stage, output] [linear, learning, partitioning, space, error, data, binary, test, supervised, locally, machine, scheme, proposed, boosting, regression, large, well, datasets, small, performance, optimize, adaboost, choosing, robert]
Learning with Target Prior
Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji
Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji
[sequence, set, algorithm, length, regressor, online, loss] [parametric, function, based, knowledge, expectation, approach] [prior, model, parameter, joint, latent, bayesian, form, variable, probabilistic, log, distribution] [target, ltp, subject, training, unsupervised, pose, learned, ecog, learn, sgplvm, corresponded, image, train, temporal, directly, trained, uncorresponded, work, figure, structured, paired, second, body, electrocorticographic] [corresponding, estimation, batch, random, general, conventional, estimate] [decoding, bci, input, brain, signal, movement, time, output, tested, collected, prediction, predict, framework] [learning, data, linear, regression, well, task, proposed, supervised, ridge, generalize, space, table, demonstrate, mapping]
The variational hierarchical EM algorithm for clustering hidden Markov models.
Emanuele Coviello, Antoni Chan, Gert Lanckriet
Emanuele Coviello, Antoni Chan, Gert Lanckriet
[algorithm, lower, bound, sequence, probability, derive, set, respect, smaller, paper, series, divergence] [state, observation, expected, max, expectation, based] [hmm, variational, hmms, hidden, model, markov, mixture, log, cluster, hierarchical, vhem, music, hem, distribution, likelihood, base, component, gaussian, will, generated, emission, number, variable, collection, derivation, generative] [level, gmm, annotation, learned, learn, semantic, second, ieee, directly, automatic, capture, speech, entire] [novel, estimation, spectral, reduced, matrix, estimated, support, intermediate] [motion, time, input, group, represents] [clustering, learning, data, virtual, table, machine, large, better, zij, original]
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
Xi Chen, Qihang Lin, Javier Pena
Xi Chen, Qihang Lin, Javier Pena
[algorithm, set, online, empirical, loss, assume, extension, corollary, proof, term, probability, note, theorem, convexity, bregman] [optimal, deterministic, average, based, function, conference, expected, current] [parameter, log, number, allows, university] [figure, directly, previous, achieved, improves] [convex, stochastic, rate, orda, convergence, averaging, dual, objective, assumption, gradient, subgradient, optimization, proximal, achieves, regularized, solution, rda, method, achieve, sage, sparsity, strong, solving, smooth, problem, technical, recovery, propose, iteration, avg, fobos, prox, journal, step, high, sparser, accelerated, subgradients, constant, arg] [presented, basic] [learning, table, mapping, machine, approximation, better, proposed, vector, combination]
Parametric Local Metric Learning for Nearest Neighbor Classification
Jun Wang, Alexandros Kalousis, Adam Woznica
Jun Wang, Alexandros Kalousis, Adam Woznica
[instance, set, algorithm, complexity, term, margin, class, pairwise, lemma, main, bound] [function, cost, optimal] [number, will, model, vary, parameter, predictive] [local, learn, global, learned, learns, single, compare, accuracy, automatic, improves, figure, weighting] [matrix, problem, optimization, method, smooth, dual, objective, norm, gradient, lipschitz] [basis, weight] [metric, learning, plml, distance, linear, performance, anchor, nearest, large, ijk, datasets, kernel, cblml, data, squared, triplet, error, svm, better, wibk, neighbor, glml, wibl, manifold, psd, constructed, lmnn, regularization, mahalanobis, space, isolet, zbl, constraint, kbl, boostmetric, cijk, well, appropriate, row, sml, select, worse, respective, dataset]
Pointwise Tracking the Optimal Regression Function
Yair Wiener, Ran El Yaniv
Yair Wiener, Ran El Yaniv
[lemma, regressor, hypothesis, probability, loss, bound, risk, erm, set, theorem, pointwise, active, coverage, case, reject, regressors, assume, proof, paper, class, result, empirical, including, statistical, substantial, true, algorithm, version, increasing, hindsight, agnostic, rejection, supremum, disagreement] [strategy, optimal, function, standard, optimality, average, unknown, required, based] [sample, will, full] [training, applying, entire, learn, tracking, ieee, feature, region, baseline] [convex, method, constrained, general, monotonically, size, numerical, discussed, matrix, application] [selective, prediction, implementation, neural, input, multiplicative, difference, presented] [learning, regression, linear, test, error, squared, point, proposed, datasets, technique, vector, machine, space, distance, performance, common, row]
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun, Eric Xing
Qixia Jiang, Jun Zhu, Maosong Sun, Eric Xing
[set, term, equivalent, denote, probability, margin, derive] [average, good, function, based, expectation, strategy, goal] [topic, posterior, medlda, distribution, gmedlda, imedlda, model, lda, sample, latent, variational, gibbs, inference, sampling, sampler, monte, carlo, number, bayesian, fmedlda, collapsed, draw, dirichlet, document, markov, likelihood, prior, zdn, glda, will, chain, discovering, wdn, maximum, flda] [training, accuracy, directly, discriminative, larger, map] [estimate, problem, entropy, solve, size, solution, optimum, dual, sparsity, regularized, stable, method, iteration, min] [prediction, interpretation, natural, rule, desired] [data, supervised, performance, learning, large, space, sensitivity, svm, vector, small, test, weaker, criterion]
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio, Tiberio Caetano
Aaron Defazio, Tiberio Caetano
[submodular, set, algorithm, consider, case, comparison, sort, order, denote, class] [function, approach, optimizing, standard, good, evaluated] [degree, prior, model, structure, node, log, will, distribution, exponential, number, gaussian, form, tractable, parameter] [scale, applied, figure, accuracy, structured, performed] [proximal, method, dual, convex, problem, decomposition, graph, covariance, sparse, subgradient, relaxation, optimization, reweighted, reconstruction, random, graphical, edge, sparsity, matrix, admm, gene, iteration, erg, diagonal, liu, estimation, convergence, mnp, proposition, alternating, ihler, francis, free, solving, objective, subproblem, envelope, eigenvalue, min, arg, regularized, minimization] [network, natural, weight, absolute, practice, connected] [operator, selection, learning, small, machine]
Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Danny Tarlow, Ryan Adams, Rich Zemel, Brendan Frey
Kevin Swersky, Danny Tarlow, Ryan Adams, Rich Zemel, Brendan Frey
[ranking, label, logistic, case, set, maximize, algorithm, probability, note, class, main, relevance, consider, inductive, example, chosen] [expected, function, optimal, approach, evaluation, standard, programming, international] [model, prior, number, distribution, inference, log, count, sample, likelihood, will, structure, probabilistic, draw, modeling, assigned, joint, alternative, conditional, compute, ordering, monotonic, maximum, university, softmax] [top, training, work, multiple, train, single, learned, trained, figure, simple, image, clear, include, sum, restricted] [objective, proposition, exact] [gain, dynamic, output, issue] [learning, binary, ordinal, test, regression, machine, data, vector, dataset, regularization, performance]
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Abram Friesen, Timothy Hanks, Mike Shadlen, Rajesh Rao
Yanping Huang, Abram Friesen, Timothy Hanks, Mike Shadlen, Rajesh Rao
[probability, piecewise, order, case] [decision, belief, optimal, reward, function, state, policy, action, pomdp, eye, knowledge, expected, choice, correct, observation, receives, reinforcement, chooses, based, future, observable] [model, prior, distribution, hidden, normal, sampling, bayesian, university, compute, variable, posterior, markov, inference, emission, diffusion, joint] [human, figure, accuracy, target] [random, coherence] [time, animal, making, reaction, experimental, direction, discrimination, neural, motion, carpenter, psychometric, framework, explain, perceptual, movement, rnrs, saccadic, offset, boundary, dynamic, tnd, represents, determined, reciprocal, additive, neutral, maximization, intercept, trial, brain, sensory, latency, rightward, solid, predicts] [data, task, learning, linear, well, biased]
Fused sparsity and robust estimation for linear models with unknown variance
Arnak Dalalyan, Yin Chen
Arnak Dalalyan, Yin Chen
[case, risk, theorem, setting, probability, respect, provide, fundamental, order, chosen, change, remark, proof, inequality, note, property] [standard, unknown, cone, context, evaluation, interested, choice] [maximum, likelihood, number, will, sample, pair, gaussian] [scale, level, subject, computer, restricted, accuracy] [problem, matrix, estimation, robust, fused, lasso, sparsity, estimator, theoretical, condition, dantzig, convex, solution, penalized, selector, sfds, scaled, min, optimization, procedure, estimating, corresponding, diagonal, ave, sparse, minimization, satisfy, xmj, emmanuel, eigenvalue, solved, penalty] [noise, tuning, std, computed] [vector, linear, large, regression, small, table, synthetic, special, quality, learning]
A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
[set, asymexp, query, spanning, signed, treecutter, active, algorithm, label, theorem, order, path, patht, querying, fraction, queried, learner, arbitrary, smaller, consistent, visit, labeling, fact, slashdot, bound, starmaker, epinions, length, ytrain, integer, setting, bounded, case, subtrees] [optimality, based, conference, average] [tree, number, factor, social, link, log, node, model, undirected, assignment] [training, figure, remaining, larger, randomly, simple, work, created] [graph, edge, size, constant, analysis, spectral, positive, theoretical, achieves, running, stochastic] [time, prediction, sign, connected, predicted, bias, input, negative, network] [learning, test, labeled, predicting, linear]
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck, Katherine Heller, Alexandre Pouget
Jeff Beck, Katherine Heller, Alexandre Pouget
[algorithm, probability, note, online, fact, equivalent] [function, approximate, optimal, simply, standard, approach] [probabilistic, distribution, latent, inference, posterior, model, topic, exp, vbem, log, lda, bayesian, variational, generative, document, form, word, intensity, normalization, number, likelihood, will, dirichlet, targeted, infer, assignment, update, njk] [pattern, complex, build, layer, figure, simple, scene] [problem, general, estimate, matrix] [neural, network, spike, activity, population, implementation, input, divisive, ppc, natural, represents, olfactory, neuron, dynamic, demixing, output, odor, visual, framework, nature, biologically, capable, rule, time, system, implementing, faced, relevant, plausible, ddm] [linear, learning, task, approximation, code]
Truncation-free Online Variational Inference for Bayesian Nonparametric Models
Chong Wang, David Blei
Chong Wang, David Blei
[algorithm, set, complexity, lower, bound, empirical, comparison, consider, case] [approach, international, conference, approximate, intelligence, grows] [variational, inference, mixture, distribution, topic, number, dirichlet, collapsed, likelihood, model, bnp, york, batchsize, bayesian, process, hidden, latent, gibbs, document, component, hdp, posterior, update, sampling, log, hierarchical, truncation, word, parameter, nonparametric, exp, prior, sample, inferred, predictive, massive, vocabulary] [local, global, figure, work] [stochastic, method, batch, journal, size, suppose, unbounded, rate, family, random] [nature, time, neural, processing, natural, difference] [data, learning, machine, locally, large, better, small]
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization
Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown
Demba Ba, Behtash Babadi, Patrick Purdon, Emery Brown
[sequence, theorem, proof, fact, consider, case, set, bound, denote, smaller, derive, lemma, property, lower, bounded, assume, prove, element, order, introduce] [average, function, based, cone, standard] [number] [video, frame, figure, ieee, outperforms, applied, compare, larger, snr, restricted] [recovery, conventional, sparse, program, convex, problem, presence, measurement, rip, mse, theoretical, recover, exact, reconstruction, reconstructed, csk, recovering, min, rnk, application, stable, random, solving, matrix, generalized, suppose, sensing, support, compressive, noiseless, satisfy, compressed, propose] [dynamic, absence, signal] [linear, error, real, vector, table, data, select, generalize, row]
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
[algorithm, regret, set, theorem, bound, probability, lemma, proof, result, assume, order, denote, consider, prove, hold, corollary, asymptotic, extended, theory, exists, case, marketing, bounded, suitable, introducing] [control, cost, optimal, cmin, state, episode, controller, cumulative, advertising, average, hjs, unknown, regulator, initial, expected, max] [parameter, number, model, event, log] [work, ieee, spatial, second] [high, dimensional, estimated, matrix, sparse, problem, stochastic, solution, quadratic, optimization, proposition, condition, recovery, estimate, decomposition, stanford, corresponding] [system, time, adaptive, controlled, dynamic, principle, equation] [linear, learning, row, logarithmic, constraint]
Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Michael Jordan, Thomas Schön
Fredrik Lindsten, Michael Jordan, Thomas Schön
[set, probability, path, consider, mixing, assume, statistical, note, sequence, explicit, complexity, order, series] [simulation, state, sequential, idea, trajectory, based, approach] [backward, sampling, particle, truncation, ancestor, smc, sampler, gibbs, inference, gaussian, carlo, monte, model, draw, process, sample, will, mcmc, pmcmc, conditional, computational, forward, ssms, bayesian, compute, markov, degenerate, university, number, ancestral, proposal, csmc, chain, adaption, tree] [level, figure, apply, reason, target, accuracy] [density, method, step, problem, journal, procedure, running, application, random, strong] [smoothing, time, increase, system, noise, nonlinear] [approximation, linear, proposed, address, error, construct, kernel]
Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Katherine Heller, Jeff Beck
Charles Blundell, Katherine Heller, Jeff Beck
[probability, measure, set, consider, interesting, statistical] [people, based, total, intelligence, behaviour, future, approach, uncertainty] [model, hawkes, process, poisson, social, cluster, gpq, npq, irm, number, enron, bob, nuv, structure, conv, event, interaction, nqp, mallory, will, inference, relational, email, log, university, pair, david, markov, military, reciprocity, whilst, reciprocating, infer, conversation, predictive, bayesian, thinning, alice, full, latent, parameter, inferred, modelled, involving, partition, declared, modelling] [figure, work, learn, structured] [rate, mid, edge, graph, random, journal, denotes, stochastic, relationship] [time, group] [data, point, table, learning, counting, synthetic]
Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth, Shakir Mohamed
Marc Deisenroth, Shakir Mohamed
[true, algorithm, set] [state, approximate, function, expectation, based, standard, transition, average, uncertainty, international, conference, required, updated] [gaussian, inference, posterior, distribution, latent, message, process, log, bayesian, gpdss, gpads, propagation, factor, model, update, linearization, marginal, moment, cavity, predictive, computing, implicit, gpds, partition, inferred, compute, kalman, nllx, backward, forward, form] [capture, matching, directly, compared] [measurement, covariance, general, passing, corresponding, iterative] [dynamical, smoothing, time, nonlinear, motion, account, system, computed, prediction, noise] [data, approximation, test, learning, existing, improved, performance, projection, machine, accurate, synthetic]
A quasi-Newton proximal splitting method
Stephen Becker, Jalal Fadili
Stephen Becker, Jalal Fadili
[algorithm, active, set, case, theorem, example, class, corollary, denote, assume, consider, version, term, result, piecewise, remark, extended, loss, strictly] [function, standard, approach, cost, continuous] [log, compute, update] [simple, root, second, previous] [method, convex, gradient, diagonal, proximity, optimization, newton, proxv, solve, proximal, inverse, constrained, problem, splitting, siam, general, unique, exact, positive, hessian, min, generalized, unconstrained, step, quadratic, derivative, objective, lasso, descent, numerical, analysis, convergence, smooth, proxhi, scalar, spectral, asa, scaled, lipschitz, solving, semismooth, symmetric, sparse, constant] [] [operator, projected, approximation, machine, separable, well, proposed, sorting]
Minimizing Uncertainty in Pipelines
Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi
Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi
[set, probability, consider, query, hard, best, theorem, denote, minimizes, dag, complexity, active, pick, picking, report, algorithm, example, term, result, extended, note, closest, pipeline, ree, correctness, minimize, version, extractor, john, polynomial, proof, class, alina, label] [uncertainty, expected, approximate, correct, total, goal, intractable, function, optimal, based] [node, compute, tree, probabilistic, conditioned, will, model, ancestor, number, directed, inference, event, expression] [leaf, work, single, second, root, simple, computer] [problem, graph, technical, incremental, general, objective, denotes, size, weighted, graphical] [output, time] [data, reduction, approximation, linear, learning, operator, item]
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Wei Bi, James Kwok
Wei Bi, James Kwok
[multilabel, algorithm, label, mlnp, set, probability, supernode, loss, unassigned, nap, masr, snv, satisfying, hbr, dag, best, extended, called, multiclass, query, path, example, minimizes, mandatory, partial, smaller, pheno] [hierarchy, conference, international, optimal, function, search, approach, water] [hierarchical, node, number, tree, posterior, will, hmc, likelihood, updating, log, parent, bayesian, enron] [leaf, root, figure, performed, pattern, training, internal] [proposition, problem, composite, assumption, symmetric, pij, method, gene, positive, greedy, solution] [prediction, time, threshold, processing] [data, learning, proposed, labeled, large, machine, table, largest, test, existing]
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions
Richard Gibson, Neil Burch, Marc Lanctot, Duane Szafron
Richard Gibson, Neil Burch, Marc Lanctot, Duane Szafron
[regret, probability, set, theorem, bound, algorithm, best, bounded, consider, prove, provide, note] [player, average, game, action, strategy, counterfactual, exploitability, mccfr, sampled, cfr, cumulative, visited, abstract, chance, faster, poker, current, michael, equilibrium, betting, opponent, nash, return, dice, vanilla, tighter, converges, extensive, history, required, starting, round, max, martin, indicate, play, terminal] [sampling, number, sample, computing, tree, monte, carlo, parameter] [previous, figure, single, sum, recall, work] [minimization, random, iteration, solution, convergence, size] [response, time] [averaged, data, well]
Multilabel Classification using Bayesian Compressed Sensing
Ashish Kapoor, Raajay Viswanathan, Prateek Jain
Ashish Kapoor, Raajay Viswanathan, Prateek Jain
[active, label, multilabel, set, note, case, consider, fraction] [uncertainty, standard, based, key, total, function] [model, inference, number, bayesian, posterior, latent, gaussian, update, distribution, probabilistic, observed, prior, variational, joint, gamma, fully, process, turn] [precision, training, figure, accuracy, unlabeled, baseline, handle, considering, obtains] [method, compressed, sensing, random, dimensional, procedure, compressive, jointly, positive, sparse] [output, framework, traditional, prediction, weight, input] [learning, data, svm, missing, proposed, space, point, regression, vector, test, unobserved, machine, labeled, naturally, dataset, large, selection, select, informative, datasets, selected, criterion, better, linear]
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'Leary
Stephen Bach, Matthias Broecheler, Lise Getoor, Dianne O'Leary
[algorithm, derive, set, example, case, feasible, statistical, consider, introduce, class, refer] [continuous, function, approach, average, based, evaluated, conference] [social, number, update, inference, probabilistic, markov, modeling, model, discrete, component, will] [figure, work, single] [problem, mpe, optimization, consensus, method, random, arg, ccmrfs, running, objective, solving, constrained, subproblems, solve, ccmrf, graphical, broecheler, iterative, college, dual, solved, min, scalability, xxt, naive, copy, procedure, edge, clipping, convex] [potential, time, linearly, framework, intrinsic, represent, speed, direction] [constraint, linear, learning, point, vector, machine, superior, relative]
Query Complexity of Derivative-Free Optimization
Kevin Jamieson, Rob Nowak, Ben Recht
Kevin Jamieson, Rob Nowak, Ben Recht
[oracle, comparison, algorithm, bound, lower, inf, pairwise, theorem, dfo, denote, case, probability, class, set, upper, lemma, respect, sequence, setting, assume, cfi, active, fact, bandit, query, proof, minimum, complexity, bounded, implies, depend, prove, uniformly, divergence, note, considered] [function, search, evaluation, optimal, max, based, correct, expectation] [log, distribution, will, model, parameter, gaussian, number, exp] [simple, noisy, apply, work, human] [optimization, convex, stochastic, random, lipschitz, convergence, rate, gradient, problem, procedure, journal, constant, objective, arg, independent, robust, analysis] [noise, direction] [learning, well, small, dimension]
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas Le Roux, Mark Schmidt, Francis Bach
Nicolas Le Roux, Mark Schmidt, Francis Bach
[testing, set, loss, algorithm, logistic, case, note, respect, paper, sequence, assume] [cost, optimal, function, faster, average, standard, based, converges, additional, deterministic] [form, number, full, supplementary, exponential] [training, previous, work, larger, despite, improve] [convergence, method, rate, step, sag, gradient, size, stochastic, constant, iteration, proposition, achieve, iag, analysis, afg, averaging, convex, problem, independent, journal, incremental, accelerated, fik, siam, pass, pegasos, rda, optimization, momentum, nosg, esg, practical, steepest, assumption, objective, smooth, storage, regularized, iterates, afford] [effective, basic] [data, linear, learning, large, machine, better, approximation, test, selection, regularization]
Emergence of Object-Selective Features in Unsupervised Feature Learning
Adam Coates, Andrej Karpathy, Andrew Ng
Adam Coates, Andrej Karpathy, Andrew Ng
[algorithm, best, class, set] [conference, international, key] [will, scalable, distribution, model, form, full, highly, structure] [simple, complex, figure, invariant, object, feature, learned, layer, train, unlabeled, pooling, unsupervised, learn, invariance, scale, image, training, trained, work, human, discover, second, pixel, visualize, face, combine, youtube, activate, local, directly, randomly, agglomerative, clear, applying, computer, identify, single, commonly, supervision] [procedure, random, achieve, sparse, density, method, type] [cell, selective, group, system, neural, coding] [learning, linear, labeled, clustering, large, data, dataset, construct, extremely, existing, small, machine, better]
Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson, Tiberio Caetano
Xianghang Liu, James Petterson, Tiberio Caetano
[loss, label, set, algorithm, runtime, note, paper, example, complexity, statistical, main, probability, fact, logistic, argument, margin] [continuous, good, approach, open, option, key, observation, function, approximate] [discrete, inference, model, will, number, parameter, ability, discretization, fully, chain] [map, work, training, accuracy, structured, figure, directly, complex, svms] [random, problem, convex, graph, optimization, formulation, high, graphical, assumption, method, clique, exact, robustness, theoretical, general, noiseless, analysis] [framework, connected, noise, time, direction] [learning, linear, machine, binary, svm, small, data, well, vector, datasets, regularization, space, regularizer]
Learning curves for multi-task Gaussian process regression
Peter Sollich, Simon Ashton
Peter Sollich, Simon Ashton
[bayes, case, asymptotic, consider, lower, example, order, square, set, asymptotically, setting, assume, discussion, term] [average, function, approach, initial, good] [number, gaussian, will, form, posterior, process, pure, fully, prior, latent, explicitly, expression] [training, second, figure, feature, single, level, sum, learned, product] [matrix, covariance, smooth, block, diagonal, corresponding, general, solving] [curve, noise, prediction, input, decay, transfer, gain, limit, study, effective, solid, surface] [learning, task, error, regression, approximation, mit, large, kernel, variance, machine, linear, averaged, small, london, space, rough, individual]
A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu, Dmitri Chklovskii
Shaul Druckmann, Tao Hu, Dmitri Chklovskii
[bregman, algorithm, series, result, consistent, note, assume, consider] [function] [predictive, transmission, will, number, model] [feature, representation, view, higher, internal, considering, cross, single] [sparse, step, iteration, bandwidth, journal, solution, analysis, convex] [stimulus, principal, feedback, time, circuit, activity, coding, interneurons, sensory, negative, interneuron, response, early, neuron, neural, threshold, linearized, equation, prediction, brain, processing, transient, transmitted, olfactory, transmit, ganglion, input, natural, direct, channel, inhibitory, membrane, nature, longer, framework, signal, output, receptive, nonlinear, residual, implement, delay, synaptic, efficient, retinal, lateral, inhibition, noise, defined, network, correlated, limited, integration] [linear, projection, accurate, common, point, error, well]
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Pinghua Gong, Jieping Ye, Changshui Zhang
[algorithm, bound, lemma, set, theorem, remark, proof, inequality, empirical, comparison, result, case, loss, denote, upper, annals, order, term] [max, based, state] [parameter, gaussian, number, exp] [feature, training, mri, side, multiple, figure] [estimation, sparse, analysis, condition, min, formulation, matrix, assumption, solution, theoretical, propose, random, eigenvalue, lasso, convex, nonzero, zhang, regularized, incoherence, denoted, achieves] [stage, weight, effectiveness, nmse, noise] [learning, error, msmtfl, data, proposed, averaged, common, task, shared, row, performance, regularization, synthetic, ratio, jalali, well, dirty, large, paramter, isolet, smallest, demonstrate, restrictive, dirtymtl, weaker, amse]
An Integer Optimization Approach to Associative Classification
Allison Chang, Dimitris Bertsimas, Cynthia Rudin
Allison Chang, Dimitris Bertsimas, Cynthia Rudin
[transaction, class, iter, mio, set, list, orc, highest, algorithm, win, mining, ranked, frontier, note, rgen, bound, board, interpretability, upper, term, lim, ranking, paper, integer, interestingness, tij, applicable, chose, report, called] [decision, optimal, average, cart, international, null, based, conference, add, approach] [number, model, generate, parameter] [accuracy, train, figure, work, training, include, second, designed, multiple, interpretable, top, build, corresponds, higher, body, help] [rank, formulation, objective, optimization, solve, support, method, achieve, scaled, correctly] [rule, association, time, predicts] [test, data, constraint, table, learning, machine, regularization, vector, point, dataset, small, binary]
Distributed Non-Stochastic Experts
Varun Kanade, Zhenming Liu, Bozidar Radunovic
Varun Kanade, Zhenming Liu, Bozidar Radunovic
[payoff, regret, communication, algorithm, coordinator, consider, case, lower, bound, fri, fpl, oblivious, adversary, query, counter, online, dfpl, received, follow, note, theorem, leader, setting, assume, simultaneously, proof, lemma, asymptotically, observe, decide, guarantee, maintain, probability, best, forecaster, perturbed, applicable, upper, version, lef, choose, term] [expert, cumulative, expected, receives, total, cost, optimal, approximate, standard, required, playing] [site, model, number, will, parameter, described, variable, full] [work, simple, figure] [distributed, block, random, problem, achieves, step, regularized, optimization, stochastic] [time, prediction, system, phase, noise, natural] [vector, better, learning, large, machine]
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
Anima Anandkumar, Ragupathyraj Valluvan
Anima Anandkumar, Ragupathyraj Valluvan
[complexity, set, consider, minimum, provide, class, denote, algorithm, lower, probability, bound, fraction, annals, chosen, note, depend] [based, tradeoff] [latent, model, tree, observed, number, hidden, node, ising, sample, loopy, lda, topic, girth, log, structure, maximum, parameter, markov, perplexity, degree, dmax, tractable, variable, bic, distribution, discrete, process, gaussian, discovering, pmi] [local, depth, work, incorporate, unlabeled, evaluate] [method, graph, graphical, edge, correlation, estimation, random, dmin, establish, presence, require, reconstruction] [decay, potential, regime, natural, long, output] [learning, proposed, distance, locally, performance, selection, large, machine, data, binary]
Near-optimal Differentially Private Principal Components
Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha
Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha
[algorithm, complexity, set, lower, theorem, case, theory, gap, guarantee, interesting, bound, empirical, chose, change, induced] [utility, approximate, required, sensitive, standard, future] [sample, distribution, parameter, exponential, number, sampling, log, gaussian] [ppca, work, top, second, single, accuracy, level] [matrix, pca, random, method, subspace, general, theoretical, perturbation, low, procedure, eigenvector, scaling, rank, singular, eigenvalue] [output, noise, mechanism, computation] [data, privacy, private, differentially, sulq, approximation, differential, dimension, performance, sensitivity, well, talwar, reduction, nonprivate, dimensionality, orthonormal, special, dwork, variance, point, real, large, vector, machine, bingham]
Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy
James Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel Roy
[theorem, set, case, probability, measurable, statistical, consider, supported, uniform, suitable, discussion] [function, school, sampled, continuous, international, conference] [model, latent, gaussian, array, exchangeable, process, bayesian, relational, prior, xij, nonparametric, sampling, distribution, number, observed, uij, form, variable, inference, parameter, conditional, slice, gplvm, structure, eigenmodel, xji, modeling, posterior, modelling, sample, university, probabilistic, exchangeability] [representation, protein, scale, work] [random, graph, matrix, journal, sparse, general, assumption, stochastic, high, symmetric, adjacency] [wij, network, processing, neural, natural, noise, interpreted] [data, space, kernel, machine, learning, pmf, approximation, common]
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-Bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz
Nicolò Cesa-Bianchi, Pierre Gaillard, Gabor Lugosi, Gilles Stoltz
[regret, loss, online, forecaster, sequence, algorithm, theorem, shifting, bound, share, dtv, best, corollary, notion, lemma, case, setting, proof, comparison, mirror, chosen, measure, note, simplex, consider, order, quantity, minimize, introduced, compete, paris, mixing, element, introduce] [discounted, expert, focus, cumulative, horizon, shift, standard, conference, function, round, current, total, chooses, goal, max] [update, number, supplementary, form] [tracking, corresponds, sum, work] [generalized, convex, analysis, general, optimization, descent, suppose, journal, satisfy] [adaptive, tuning, prediction, regularity, time, difference, expressed, ecole] [learning, small, machine, special, shared, linear, projection, projected, generalizes, logarithmic]
Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
[theorem, bayes, true, result, energy, assume, derived, derive, note, property, probability, set, empirical, situation, implies, algorithm] [function, observation, based, search] [bayesian, posterior, distribution, variational, observed, model, probabilistic, log, sample, parameter, analytic, gaussian] [global, simple, depicted, local, figure, automatic, second, perform] [evb, matrix, solution, estimator, sparsity, condition, recovery, singular, pca, estimation, free, random, rigorous, theoretical, rank, practical, mpul, analysis, shrinkage, independence, rate, covariance, journal, proposition, estimated, tokyo, cah, minimizer, quartic, denotes, numerical, cbh, exact, vbmf] [noise, threshold, perfect, implementation, behavior, limit, principal, theoretically] [variance, dimensionality, selection, factorization, large, well, approximation, advantage]
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Jakob Macke, Maneesh Sahani
Lars Buesing, Jakob Macke, Maneesh Sahani
[set, algorithm, consistent, true, case] [observation, function, state, approach, initial, approximate, based] [model, observed, parameter, gaussian, latent, process, moment, distribution, computational, likelihood, factor, poor, generated, inference, poisson, number, described, loading] [training, truth, multiple, ground, local, compared] [matrix, hankel, size, covariance, method, estimation, estimate, random, subspace, underlying, spectral, singular, yield] [pldsid, neural, ssid, time, initialisation, dynamical, plds, spectrum, system, external, initialised, instantaneous, difference, conversion, input, activity, computed] [data, performance, linear, well, better, large, approximation, learning]
Convex Multi-view Subspace Learning
Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
Martha White, Yaoliang Yu, Xinhua Zhang, Dale Schuurmans
[set, loss, algorithm, lemma, runtime, note, case, theorem, increasing, appendix] [optimal, max, approach, key, goal] [latent, number, conditional, variable, allows, conditionally] [training, representation, figure, denoising, local, image, global, noisy, higher, face, achieved, single, canonical, compare] [msl, subspace, convex, ssl, min, lsl, matrix, norm, yte, formulation, reconstruction, problem, xte, recovery, independence, optimization, sparse, recovering, rank, objective, independent, analysis, solve, proposition, lighting, concave, runtimes, constrained, dual, recover, alternating, hte, correlation, zktr, dimensional, procedure, minimization, solution, high] [noise, expressed, developed] [learning, data, error, synthetic, quality, dimensionality, shared, boosting, ratio, cca, dataset, inner, worse, linear]
Regularized Off-Policy TD-Learning
Bo Liu, Sridhar Mahadevan, Ji Liu
Bo Liu, Sridhar Mahadevan, Ji Liu
[algorithm, set, mirror, term, loss, comparison, design, result, note, online] [function, tdc, based, conference, mspbe, approach, reinforcement, state, international, bellman, policy, eligibility, action, formulated, cost, max, inverted, transition, concern, pendulum, reward, approximate, star] [number, compute, markov, sample, sampling, computing] [feature, figure, temporal, experiment, learn, representation] [convex, gradient, regularized, objective, problem, formulation, optimization, convergent, descent, analysis, proximal, convergence, stochastic, method, sparse, subgradient, matrix, novel, condition, minimization, min, underlying] [equation, computation, basis, difference, presented, material, experimental] [linear, learning, selection, regularization, machine, proposed, error, table, space, performance, well, column]
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-Jen Hsiao, Kevin Xu, Jeff Calder, Alfred Hero
Ko-Jen Hsiao, Kevin Xu, Jeff Calder, Alfred Hero
[set, best, theorem, denote, algorithm, strictly, consider, measure] [pareto, anomaly, pda, front, dyad, anomalous, nominal, approach, grid, hero, trajectory, optimality, create, located, based, conference, scalarization, search, iii] [sample, will, number, distribution, associated, supplementary, computing] [detection, multiple, training, score, depth, figure, single, detect, experiment, view, corresponds, compared, second, sum, work] [corresponding, method, problem, analysis, density, positive] [time, weight, processing, study] [linear, test, data, dissimilarity, learning, nearest, proposed, criterion, combination, item, auc, machine, performance, dij, large, better, geometry]
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
Jake Bouvrie, Jean-Jacques Slotine
Jake Bouvrie, Jean-Jacques Slotine
[consider, term, theorem, respect, assume, redundancy, set, case] [observation, equilibrium, trajectory, decision, control, cost] [will, process, computational, form, model, gaussian, distribution, collection, degree, prior, parameter] [noisy, impact] [gradient, convergence, solution, stochastic, problem, independent, descent, rate, general, averaging, plot, quadratic, covariance, random, distributed] [noise, synchronization, coupling, network, neural, system, time, strength, coupled, correlated, mechanism, visual, equation, corrupted, observational, sensory, nervous, behavior, ambient, role, brownian, adjust, dwt, experimental, dynamic, difference, brain, increase, adaptive, plausible, implementing] [regularization, learning, error, parallel, variance, regression, approximation, data, common, functional, small]
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun, Cun-Hui Zhang
Tingni Sun, Cun-Hui Zhang
[theorem, bound, calibrated, algorithm, proof, inequality, lemma, smaller, order, proper, iid, main, uniformly, term] [optimal, simulation, unknown] [log, sample, factor, hpt, observed, rest, allows] [level, training, second, noisy, target, svd, sum, figure] [matrix, size, rank, lasso, coherence, norm, penalty, frobenius, singular, completion, estimator, exact, nuclear, requirement, problem, recovery, iterative, arg, min, random, analysis, elastic, suppose, estimation, convex, noiseless, minimization, quadratic, proposition, solution, estimated, method, technical, distributed, scaled, simpler] [spectrum, noise, proportion, complete, requires] [error, linear, proposed, data, large, space, ratio, regularization, parallel, learning, test, constraint, advantage, machine]
Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi
[algorithm, lemma, theorem, bounded, online, bound, inequality, assume, regret, proof, probability, main, note, set, sequence, convexity, order, term, feasible, result, exists, depend, remark, complexity] [function, optimal, domain, standard, max, key, idea, cost] [variable, exp, parameter, updating, will, develop, computational, update] [sgd, complex, work] [convex, optimization, stochastic, gradient, rate, convergence, solution, general, problem, descent, min, step, assumption, iteration, objective, analysis, norm, achieve, dual, primal, method, high, eigenvalue, lagrangian, intermediate, achieves, greedy, strong, sparse, mild, usa, positive, theoretical] [making, requires, computation] [projection, proposed, learning, constraint, machine, approximation, projecting, unbiased, psd]
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai Shalev Shwartz
Amit Daniely, Sivan Sabato, Shai Shalev Shwartz
[hypothesis, class, multiclass, msvm, complexity, ecoc, theorem, halfspaces, label, analyze, erm, set, probability, note, lemma, respect, case, lower, bound, denote, hova, algorithm, corollary, upper, regret, allwein, crammer, chosen, main, daniely, consider, proof, stated, length, singer, exists, result, best, realizable, roughly] [choice, based, function, approach] [sample, tree, will, distribution, number, associated, rest] [training, randomly, larger, perform] [estimation, random, analysis, underlying, method, problem, essentially, journal, graph, high, matrix, constant, close] [prediction, output, left, difference] [error, approximation, binary, code, learning, dimension, large, reduction, vector, small, better, linear, distance, performance]
Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan Latecki
Yu Zhou, Xiang Bai, Wenyu Liu, Longin Jan Latecki
[set, measure, algorithm, lim, lemma, best, complexity, consider, probability] [based, conference, approach] [diffusion, process, compute, indicates, number, pair, will, represented] [tracking, frame, computer, ivt, ieee, single, pattern, precision, target, location, tpg, center, fusion, product, multiple, image, vision, vec, combine, simple, three, patch, improve, appearance, object, matching, society, background, color, tracker, coke, cliff, surfer] [graph, robust, matrix, method, weighted, iterative, analysis] [visual, threshold, time, experimental, weight] [similarity, linear, learning, error, machine, data, proposed, table, tensor, sylvester, task, candidate, column, original, vector, challenging]
Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas, Lorenzo Rosasco
Guillermo Canas, Lorenzo Rosasco
[measure, probability, empirical, bound, order, lemma, lower, upper, set, theorem, voronoi, inequality, note, supported, algorithm, consider, ewp, closest, absolutely, quantizer, derived, series, wasserstein, transport, borel, induced, instance, best, prove, proof, sense, term, theory, drawn, respect, bounded, minimizing, measurable, springer] [optimal, cost, continuous, expected] [probabilistic, sample, distribution, described, concentration, discrete] [unsupervised, matching, weak, applied] [convergence, problem, rate, decomposition, size, close, density, support, random, journal, der] [population, connection, transportation, equation, behavior, output, arrow, study, unit] [learning, distance, quantization, performance, existing, space, metric, manifold, large, approximation, riemannian, point, well, projection]
Value Pursuit Iteration
Amir massoud Farahmand, Doina Precup
Amir massoud Farahmand, Doina Precup
[algorithm, set, probability, sequence, empirical, bound, upper, measurable, provide, main, theorem, result, denote, inf, absolutely, consider, follow, case, theory, proof, paper] [function, vpi, optimal, policy, qmax, omp, bellman, future, reinforcement, conference, behaviour, transition, optimality, approximate, international, ronald, goal, based, csaba, deterministic, earlier, barron, farahmand, initial] [number, distribution, model, link, will, supplementary, atom, markov, allows, nonparametric] [representation, learned, feature, second, matching, product] [dictionary, iteration, sparse, norm, pursuit, greedy, close, theoretical, problem, procedure, analysis, method, estimate, size] [represent, study, basis] [approximation, error, learning, space, selection, operator, machine, large, orthogonal, linear]
"Compressive neural representation of sparse, high-dimensional probabilities"
Xaq Pitkow
Xaq Pitkow
[probability, perceptron, set, theory, bounded] [function, state] [distribution, number, posterior, process, hidden, will, probabilistic, sampling, inference, generated, structure, represented] [figure, boltzmann, pattern, noisy, reconstruct, representation, ieee, visible, randomly, simple, product] [compressive, random, sparse, compressed, sensing, measurement, matrix, reconstruction, cxx, arxiv, independent, nonzero, preserved, reconstructed] [signal, sgn, perceptrons, represent, nonlinear, neural, brain, activity, evidence, input, population, threshold, feedforward, ensure, wij, natural, sensory, encoding, accurately] [binary, large, inner, vector, space, variance, error, linear, dimensionality, small, embedding]
Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
[set, case, voronoi, empirical, order, setting, measure, note, bound, algorithm, consider, example, approximated, probability, quantity, respect, piecewise, theorem, risk, provide, fundamental, statistical, instance, class, considered, result, mathematical, symposium, depend, supported, studied, minimum, sense, best] [expected, optimal, international] [distribution, sample, discrete, form, typically] [global, embedded, ieee, region, higher, curvature] [reconstruction, analysis, problem, solution, assumption, high, constant, dictionary, geometric, size, dimensional, general, technical, random] [behavior, study, framework, unit, equation] [approximation, manifold, space, learning, error, data, hilbert, quantization, well, dimensionality, tangent, performance, dimension, large, clustering, orthogonal, better, naturally]
A Polynomial-time Form of Robust Regression
Yaoliang Yu, Ozlem Aslan, Dale Schuurmans
Yaoliang Yu, Ozlem Aslan, Dale Schuurmans
[loss, bounded, set, empirical, consistency, appendix, consider, note, risk, denote, polynomial, consistent, guarantee, probability, theorem, bound, assume, case] [standard, function, based, unknown, strategy, evaluation, approximate, generally, deterministic, remains, allow, domain] [parameter, form, computational, will, number, base, variational, sample, allows] [single, training, local, weak, compared, experiment, leverage, randomly] [convex, robust, min, estimator, robustness, general, method, minimization, breakdown, arg, outlier, solution, rounded, tikhonov, random, regularized, relaxation, lts, problem, unbounded, relaxed, alternating, tractability, estimate, objective, achieve, establish, trimmed, conducted] [response, expressed, experimental, adaptive] [regression, data, regularization, vector, approximation, test, kernel, learning, machine, point, proposed, table]
Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah
Sahand Negahban, Sewoong Oh, Devavrat Shah
[algorithm, walk, probability, btl, lemma, ranking, theorem, main, pairwise, result, bound, assume, induced, consider, proof, comparison, version, provide, aji, denote, setting, chosen, term, outcome] [stationary, transition, based, aggregation, choice, state, player] [distribution, model, will, markov, chain, number, pair, log, ordering, sampling, reversible, sample, dmax, analytic, count, likelihood] [score, work, object, recall] [random, matrix, rank, graph, spectral, aij, underlying, pij, analysis, positive, centrality, iterative, problem, estimate, theoretical, constant, corresponding, high, rate, estimated, establish, general] [presented, ideal, preferred, desired, weight, long, natural, wide] [error, item, well, vector, data, performance, operator, ratio]
Identifiability and Unmixing of Latent Parse Trees
Daniel Hsu, Sham Kakade, Percy Liang
Daniel Hsu, Sham Kakade, Percy Liang
[def, algorithm, consider, sentence, mixing, probability, note, set, exists, theorem, varies, iff, length, consists, measure, class, integer] [parsing, observation, function, parse, based, state, goal, standard, additional] [model, tree, dependency, observed, constituency, latent, topology, parameter, distribution, compound, pcfg, will, heck, markov, node, hidden, generate, number, unmixing, compute, structure, word, generative, probabilistic, mixture, collection, turn, joint, dentifiability] [figure, jacobian, corresponds, sum, unsupervised, applied, work, root, product, restricted, local] [matrix, recover, spectral, estimate, diagonal, rank, numerical, problem, estimation, general] [left, system] [learning, space, binary, row, technique]
Persistent Homology for Learning Densities with Bounded Support
Florian Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic
Florian Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic
[probability, consider, bounded, interval, set, example, order, note, class, subset] [approach, based, max, choice, admissible, standard] [sample, gaussian, model, mixture, compute, number, sampling, probabilistic, topology, prior, will, structure, parameter, inferred] [figure, region, top, complex, display, work, track] [density, topological, bandwidth, homology, support, corresponding, amise, betti, estimator, racetrack, barcode, estimation, supp, mid, min, topologically, method, size, barcodes, norm] [persistent, spherical, displayed, position, connected, velocity, study, indicated, computed, ith, motion] [data, kernel, learning, space, dimension, large, vector, error, synthetic]
3D Social Saliency from Head-mounted Cameras
Hyun Soo Park, eakta Jain, Yaser Sheikh
Hyun Soo Park, eakta Jain, Yaser Sheikh
[algorithm, respect, calibration] [gaze, ray, primary, head, people, eye, regard, apex, concurrence, oblique, person, understanding, plane, based, current, standard, cone, musical, move, third] [social, distribution, model, number, form, will, gaussian, maximum, structure] [camera, figure, view, center, saliency, scene, multiple, capture, pose, top, reconstruct, ground, ieee, truth, face, side, representation, directly, computer, human, location, image, variation, half] [estimate, density, method, estimation, estimated, reconstructed, gradient, coordinate, estimating] [orientation, motion, direction, group, position, system, visual, equation, unit] [point, distance, vector, geometry, projection, real, kernel]
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Mathieu Sinn, Bei Chen
Mathieu Sinn, Bei Chen
[theorem, lim, mixing, sequence, ergodicity, denote, note, strictly, asymptotic, proof, result, order, paper, introduce, theory, ergodic, consider, write, bound, set, exists, consistency, extended, assume, hold, measurable, version, establishes, probability, cmcs, fundamental, satisfying, introduced, annals, corollary, statistical] [function, key, transition, conference, international, behaviour, context, tail, max] [conditional, markov, distribution, likelihood, model, hidden, will, maximum, concentration, component, marginal] [feature, aligned, second] [random, suppose, unbounded, condition, assumption, establish, analysis, step, proposition, hessian, constant, established, positive] [limit, time, potential, central, difference, study] [space, vector, learning, linear, machine]
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli
Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli
[set, algorithm, loss, best, energy, notice, observe, minimizes, pairwise, label] [function, goal, standard] [model, number, typically, parameter, latent] [multiple, single, structured, segmentation, produce, training, map, learn, score, image, protein, work, pixel, train, figure, baseline, outperforms, object] [min, objective, problem, descent, formulation, coordinate, optimization, graph, positive, iteration, step] [prediction, output, input, natural, plausible, producing] [mcl, error, learning, ssvm, diverse, predictor, machine, interactive, task, space, quality, predicting, test, ensemble, performance, proposed, accurate, clustering, mapping, dataset, user]
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Kei Wakabayashi, Takao Miura
Kei Wakabayashi, Takao Miura
[probability, algorithm, path, sequence, set, complexity, notation] [state, transition, execution, null, based, function, calculate, observation, terminates] [markov, hhmm, hidden, hierarchical, parameter, inference, sampling, hhmms, chain, gibbs, forward, backward, minsr, fba, ftd, latent, adij, tree, structure, hmms, log, distribution, likelihood, gbiv, ffb, enables, gadij, termination, fbas, flattening, initialization, model, sampler, identical, biv, conditional] [level, single, figure, unsupervised, dbn, corresponds, depth, apply, training] [method, estimation, convergence, iteration] [activation, time, absolute, direct, dynamic] [learning, proposed, space, table, existing, conduct, data, constraint]
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, John Duchi, Martin Wainwright
Yuchen Zhang, John Duchi, Martin Wainwright
[algorithm, empirical, theorem, statistical, risk, provide, set, denote, order, paper, loss, bound, corollary, main, smoothness, term, probability, best, advertisement] [average, standard, based, optimal, approach, function, search] [number, parameter, mixture, distribution, sample, form, log] [figure, single, local, second, training] [bavgm, avgm, distributed, stochastic, method, estimate, gradient, convex, convergence, assumption, problem, rate, averaging, descent, size, solving, optimization, versus, plot, estimator, matrix, require, hessian, constant, achieves, procedure, analysis, journal, minimization] [bias, population, processing, negative, prediction] [data, dataset, bootstrap, vector, error, regression, linear, performance, machine, large, approximation, better, user]
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek Kamilov, Sundeep Rangan, Alyson Fletcher, MIchael Unser
Ulugbek Kamilov, Sundeep Rangan, Alyson Fletcher, MIchael Unser
[algorithm, asymptotic, consider, true, lim, result, class, set, consistency, oracle, theorem, paper, asymptotically, sequence, consistent, suitable] [approximate, max, function, correct, unknown, expectation, state, choice, belief, deterministic] [parameter, gaussian, message, will, distribution, prior, joint, described, bayesian, model, propagation, conditional, variable] [ieee, figure, simple] [gamp, estimation, random, method, scalar, sparse, componentwise, compressed, measurement, mse, reconstruction, passing, amp, estimate, converge, evolution, lasso, general, analysis, matrix, assumption, sensing, problem, family] [adaptive, adaptation, signal, output, input, noise, channel, behavior, considerable, nonlinear] [large, linear, vector, performance, learning, variance, ratio]
Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin
[algorithm, loss, upper, note, order, consider, case, design, smaller, choose, set, radius, bound, provide] [function, heuristic, expected, based, updated, explore] [number, will, parameter] [feature, figure, single, work, product, second, simple, three, ten] [coordinate, descent, convergence, analysis, block, clustered, greedy, regularized, spectral, convex, corresponding, objective, step, rel, stochastic, norm, family, general, nonzero, minimization, processor, smooth, proposition, solution, rate] [time, absolute, weight, memory] [clustering, parallel, randomized, data, nonzeros, inner, nnz, large, largest, table, scherrer, regularization, machine, special, shotgun, select, euters, thread, separable, kdda, national, datasets, gathered, accept]
Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux
Hachem Kadri, Alain Rakotomamonjy, Francis Bach, Philippe Preux
[algorithm, consider, case, set, respect, setting, order] [function, based, continuous] [number, integral, associated] [multiple, sum, ecog, work] [problem, optimization, positive, block, method, matrix, solving, min, solve, dual, descent, solution, analysis, norm, convergence, propose, estimating, lagrangian, coordinate] [movement, output, response, system, prediction, framework, amplitude, bci, time, nonlinear, residual, moving, interface, input, signal] [kernel, functional, learning, operator, regression, movkl, linear, hilbert, combination, data, space, reproducing, ridge, vector, real, krr, lagrange, dataset, rkhs, multiplication, proposed, mkl, rsse, error]
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Ehsan Elhamifar, Guillermo Sapiro, Rene Vidal
Ehsan Elhamifar, Guillermo Sapiro, Rene Vidal
[algorithm, consider, pairwise, subset, probability, sentence, note, set, smaller, term, notice, usps] [cost, based, max] [number, cluster, parameter, word, associated, collection, typically, triangle] [figure, training, corresponds, image, video, ieee, multiple, computer, pattern] [program, matrix, optimization, solution, problem, min, theoretical, denotes, sparse, nonzero, analysis, minimization, method, require, distributed] [range, encoding, threshold, left, encode, computed] [data, representative, point, proposed, regularization, zij, select, dij, text, well, selecting, clustering, error, performance, equal, dissimilarity, synthetic, machine, better, asymmetric, selection, euclidean, dataset, large, selected, small, trace, isolet]
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA
C. Minos Niu, Sirish Nandyala, Won Joon Sohn, Terence Sanger
C. Minos Niu, Sirish Nandyala, Won Joon Sohn, Terence Sanger
[order, probability, mathematical, communication, note, design] [current, control, evaluated, function, skeletal, based, state] [model, will, described, number, component, university, modeling, logic] [human, figure, produce, complex, child] [department, journal, sparse] [motor, muscle, emulation, fpga, neuron, platform, neural, spinal, spindle, sensory, nervous, system, physiological, time, emulated, implemented, spike, monosynaptic, clock, input, recruitment, unit, synapse, hardware, engineering, emg, neurophysiology, operate, combinational, spiking, nature, asynchronous, speed, clinical, force, movement, injury, division, southern, typical, biomedical, network, california, childhood, programmable, sparsely, femu, threshold] [real, differential, data, parallel, linear, well]
Perceptron Learning of SAT
Alex Flint, Matthew Blaschko
Alex Flint, Matthew Blaschko
[sat, algorithm, polynomial, dpll, literal, sentence, proof, clause, theorem, margin, branching, set, setting, occurences, perceptron, horn, branch, computable, exists, propositional, length, case, mistake, planar, consider, minisat, subset, bounded] [search, function, decision, valuation, based, conference, heuristic, current, approach, total, return] [will, number, variable, update, node, tree, propagation, logic, generated] [feature, training, applied, figure, canonical, priority, score, simple, include, work, learn] [positive, procedure, problem, solution, size, application, graph, stochastic] [time, unit, negative, hardware, rule, cnf, boolean, activity, framework] [learning, yij, proposed, validation, space, performance, selected]
Learning Networks of Heterogeneous Influence
NAN DU, Le Song, Alex Smola, Ming Yuan
NAN DU, Le Song, Alex Smola, Ming Yuan
[true, algorithm, set, called, probability, note, observe] [function, average, parametric, continuous, based] [node, transmission, kernelcascade, diffusion, hazard, survival, event, will, likelihood, netinf, model, num, cascade, number, fji, netrate, exp, rayleigh, log, hidden, site, infected, structure, pair, inferred, parent, directed, social, process, occurs, pdf, modeling, stamp, hji, form, sji, networked, mix, piece] [figure, simple, capture, grouped, three] [optimization, estimated, problem, edge, convex, type, recover, analysis, underlying, method, corresponding, estimate, lasso] [network, time, negative] [kernel, better, data, learning, synthetic, real, performance, regularization, individual, rbf]
FastEx: Hash Clustering with Exponential Families
Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola
Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola
[probability, bound, note, set, measure, example, provide, instance, theorem, empirical] [total, standard, conference, cost, average, approach, key] [distribution, sampling, number, cluster, exponential, proposal, compute, conjugate, log, update, inference, sampler, likelihood, collapsed, dirichlet, document, draw, fastex, gibbs, model, prior, sample, parameter, mixture, maximum, latent, scalable, will, associated, discrete, multinomial, process, gaussian, predictive, normalization] [single, baseline, product, perform, achieved] [estimate, problem, method, family, random, estimation, high, general] [time, natural, increase] [data, clustering, hash, large, quality, fast, approximation, binary, inner, hashing, similarity, parallel, table]
Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-Jacques Slotine
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco, Jean-Jacques Slotine
[loss, simplex, multiclass, case, risk, considered, complexity, comparison, class, consider, online, margin, theorem, suitable, excess, explicit, set, consistency, square, statistical, derive, bayes, multicategory, induced, consistent, theory, paper, note, extension, remark, appendix, hinge, inequality, depends, empirical] [function, approach, expected, based, cost] [number, computational, distribution, computing] [map, considering, feature] [relaxation, convex, analysis, regularized, support, problem, journal, batch, corresponding, condition, solving, versus] [coding, rule, decoding, framework, fisher, noise, natural] [binary, svm, vector, large, error, learning, machine, regularization, space, performance, kernel, table, data, boosting, point, rbf]
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
Andriy Mnih, Yee Whye Teh
Andriy Mnih, Yee Whye Teh
[algorithm, probability, explicit, set, path, term, ranking, label, protocol, depend, best, assume] [based, approach, evaluation] [model, tree, implicit, log, node, factor, perplexity, will, probabilistic, number, language, modelling, scalable, bpr, distribution, structure, irrelevant, develop, evaluating, unselected, hierarchical, bmf, updating, typically, assigned] [training, level, learned, learn, child, trained, produce, single] [matrix, random, gradient, problem] [feedback, time, contribution, relevant, neural, making] [item, user, collaborative, learning, performance, selected, selection, proposed, small, unobserved, data, large, binary, test, lth, factorization, clustering, better, dataset, linear, movielens, rating, task, table, advantage]
Topic-Partitioned Multinetwork Embeddings
Peter Krafft, Juston Moore, Bruce Desmarais, Hanna Wallach
Peter Krafft, Juston Moore, Bruce Desmarais, Hanna Wallach
[communication, set, order, algorithm, variant, modularity, drawn] [sampled, conference, average] [model, email, topic, observed, nhc, associated, distribution, organizational, actor, county, exploratory, number, posterior, erosheva, represented, prior, concentration, modeling, parameter, predictive, enron, intended, ability, assignment, hanover, lsm, inferred, latent, joint, development, public, degree, social, assortativity, transitivity, generative, dirichlet, subnetworks, manager, link] [figure, pattern, baseline, visualization, discover, visualize, second, directly, three] [coherence, analysis, random, graph, relationship, corresponding, journal] [network, principled, prediction, typical] [data, euclidean, space, synthetic, performance, text, test, distance, demonstrate]
Graphical Models via Generalized Linear Models
Eunho Yang, Pradeep Ravikumar, Genevera Allen, Zhandong Liu
Eunho Yang, Pradeep Ravikumar, Genevera Allen, Zhandong Liu
[class, set, statistical, probability, provide, case, consider, note, question, true, studied, measure] [key, function, parametric, approach, standard] [distribution, model, exponential, conditional, joint, exp, poisson, log, structure, gaussian, node, ising, markov, multinomial, parameter, form, discrete, number, will, undirected, university, rest] [learned, figure, canonical, work] [graphical, glm, graph, family, genomic, general, neighborhood, multivariate, random, suppose, constant, recovery, cancer, analysis, high, assumption, generalized, univariate, proposition, estimate, breast, edge, problem, glioblastoma, underlying, tumor, corresponding, technical, sparsity, successful, size] [network, negative, study] [data, linear, learning, selection, vector]
Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva
Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva
[algorithm, probability, ranking, set, deviation, volume] [standard, average, people, conference] [model, probabilistic, sample, process, described] [image, memorability, region, local, feature, representation, color, human, multiple, global, internal, automatic, forgotten, computer, work, memorable, semantic, learned, pyramid, score, isola, object, vision, spatial, figure, texture, corresponds, learn, remember, scene, saliency, ground, pattern, noisy, automatically, map, top, ieee, truth, single] [dictionary, type, high, size, method, rank, corresponding, propose, gradient, novel, low, close] [visual, memory, natural, experimental, framework, external, predict, effective, predicted] [performance, learning, individual, distance, predicting, dataset, large, linear, proposed]
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric
[arm, set, algorithm, best, budget, ugape, complexity, regret, setting, bound, case, probability, forecaster, lemma, smaller, prove, ugapeb, ugapec, bandit, fixed, returned, introduced, interval, appendix, write, note, called, result, stopping, considered, returning, upper, empirical, studied, fact, gap, extended, consider, corollary, pulled, notion, report] [max, exploration, return, conference, international, approach, optimal] [event, number, sample, parameter, allows, distribution] [accuracy, simple, figure, product, level, multiple] [problem, analysis, theoretical, arg, min, stochastic, high, step, objective, bernstein] [time, desired, account, phase, company, reported] [performance, selection, learning, existing, selected, machine, variance]
On the Sample Complexity of Robust PCA
Matthew Coudron, Gilad Lerman
Matthew Coudron, Gilad Lerman
[theorem, complexity, probability, proof, assume, version, lemma, term, empirical, measure, note, result, extended, order, energy, set, radius, denote, algorithm, main, series, combining, supported, mathematical, bound, theory, increasing, reaper, paper] [function, optimal, formulate] [sample, exp, component, will, distribution, compactly, mixture] [recall, bottom, work] [covariance, robust, convergence, inverse, rate, pca, matrix, subspace, generalized, underlying, estimation, norm, zhang, frobenius, high, directional, constant, estimator, estimate, convex, minimizer, recovery, outlier, wiley, size, problem, corresponding, minimization, random, lerman, assumption, close, sparse, simplicity] [explain, suggested, direct, nontrivial] [error, criterion, eigenvectors, small, approximation, ball]
A new metric on the manifold of kernel matrices with application to matrix geometric means
Suvrit Sra
Suvrit Sra
[theorem, set, result, prove, lemma, inequality, studied, implies, consider, case, corollary, statistical, fact, denote, moahker, proof, minimum, paper, main, equality, iff, measure] [function, based, key, showing, stationary, faster, search, noting, proving] [compute, computing, triangle, computational, integral, turn] [local, global, second, vision, computer] [positive, matrix, symmetric, geometric, analysis, unique, diagonal, optimization, solution, multivariate, running, numerous, convex, application, covariance, crucial, theoretical, denoted, iteration, hessian] [negative, time, study, equation] [metric, space, riemannian, spd, point, geometry, algebra, manifold, hilbert, linear, kernel, chebbi, learning, cherian, distance, large, karcher, machine, isometrically, operator, worth, quantum]
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
Jaedeug Choi, Kee-Eung Kim
Jaedeug Choi, Kee-Eung Kim
[algorithm, set, assume, probability, order, drawn, note, change] [reward, function, irl, behaviour, trajectory, approach, agent, reinforcement, mario, evd, optimal, policy, average, state, andrew, collecting, killing, birl, move, coin, lane, driving, standard, knowledge, expert, korea, evaluated, executing] [number, bayesian, distribution, cluster, posterior, generated, prior, process, mixture, model, nonparametric, dirichlet, assignment, sample, parameter, infer, assigned, markov, likelihood, normal, conditional] [multiple, single, second, feature, learned, previous, figure, three, local] [inverse, problem, gradient, graphical, denotes, random] [time, speed, left, computed, behavior] [data, learning, clustering, performance, task, distinct, binary, proposed]
Online Sum-Product Computation Over Trees
Mark Herbster, Stephen Pasteris, Fabio Vitale
Mark Herbster, Stephen Pasteris, Fabio Vitale
[cover, vertex, algorithm, height, set, online, subtree, path, subtrees, rooted, respect, observe, notation, marginalization, introduce, covering, case, theorem, ink, dva, consider, setting, exists, exposure, lemma, cached, sequence, denote, bounded, mergeable, call, order, massimiliano, iff, notion] [optimal, atomic, belief, black, recursively, formed] [tree, hierarchical, will, update, construction, component, marginal, marginals, split, compute, propagation, computing, structure, process, number, initialization] [figure, leaf, single, root, previous, three] [decomposition, step, splitting, edge, size, application, graph, method, unique, matrix, interior] [time, boundary, potential, represent, computation, prediction] [linear, learning, data, task, selected, machine]
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Matyas Sustik
Ben Calderhead, Matyas Sustik
[statistical, consider, algorithm, order, probability, note, equivalent, circadian] [current, approximate, based, stationary, expected, deterministic, standard, employed, approach, state] [mcmc, distribution, sampling, proposal, model, structure, regularisation, parameter, markov, computational, chain, number, analytically, mala, langevin, mmala, sample, likelihood, monte, carlo, will, full, allows, deterministically, diffusion] [target, local, higher] [covariance, inverse, sparse, geometric, convergence, density, method, matrix, estimation, journal, solution, sparsity, graphical, correlation, estimating, min, globally] [adaptive, fisher, time, nonlinear, natural, position, speed] [metric, manifold, riemannian, tensor, geometry, point, tangent, differential, locally, space, approximation, vector, table, inner, challenging, scheme]
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
Ofer Meshi, Tommi Jaakkola, Amir Globerson
Ofer Meshi, Tommi Jaakkola, Amir Globerson
[algorithm, set, feasible, consider, result, theorem, denote, note, proof, fact, upper, choose, subset, energy, lemma, case, bound, analyze] [optimal, approach, function, star, max, programming, approximate, choice, belief, focus, cost] [update, will, log, integral, number, marginals, message, inference, exp, typically] [map, simple, work, ieee, local, improvement, figure, directly, compare, correspond, pattern] [primal, dual, coordinate, minimization, block, convergence, greedy, gradient, solution, stochastic, rate, analysis, objective, descent, problem, step, fista, smoothed, optimum, constant, lipschitz, accelerated, method, optimization, guaranteed, smooth, lagrangian, converge, fractional, passing, convex, decomposition] [smoothing] [linear, machine, scheme, better]
"Natural Images, Gaussian Mixtures and Dead Leaves"
Daniel Zoran, Yair Weiss
Daniel Zoran, Yair Weiss
[note, set, comparison, interesting] [add, good, sampled, current, flat, stationary] [model, mixture, component, likelihood, log, structure, gaussian, number, process, modeling, generative, sampling, form, supplementary, sample, will, generated] [dead, gmm, figure, image, patch, mini, gmms, texture, gsm, ica, learned, contrast, capture, denoising, occlusion, trained, simple, side, depicts, compared, compare, variation, mask, outperforms, surprising, vision, computer, unseen, experiment, object, karklin, success, scale] [covariance, edge, pca, scalar, eigenvalue, eigenvector, matrix, random, sparse, corresponding, independent, analysis] [natural, material, neural, visual, presented, coding] [eigenvectors, performance, test, better, fourier, linear, text, small, data, learning]
Dual-Space Analysis of the Sparse Linear Model
David Wipf, Yi Wu
David Wipf, Yi Wu
[case, consider, empirical, theorem, equivalent, term, exactly, minimum, note, relevance] [function, cost, optimal, max, provided, standard] [log, likelihood, will, bayesian, prior, parameter, gaussian, model, computing, update, highly, latent, factor, cluster, alternative] [view, global, local, ieee, figure, source] [type, sparse, min, arg, sparsity, dictionary, estimation, reweighted, problem, concave, solution, solving, estimate, penalty, generalized, nonzero, method, maximally, optimization, clustered, rvm, involves, iterative, general, analysis, convex, minimization, norm, satisfy, solve] [signal, lead, neural, noise, natural, principled] [learning, linear, vector, data, naturally, performance, original, small, address, well, point]
A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistration
Juan Huo
Juan Huo
[] [] [] [] [] [] []
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoff Hinton
Alex Krizhevsky, Ilya Sutskever, Geoff Hinton
[] [] [] [] [] [] []
Recognizing Activities by Attribute Dynamics
Weixin LI, Nuno Vasconcelos
Weixin LI, Nuno Vasconcelos
[sequence, best, probability, note, measure, set, algorithm, generalization] [action, state, observation, sampled, expected, atomic, based] [modeling, topic, model, log, structure, gaussian, component, latent, distribution, bernoulli, hidden] [attribute, semantic, video, bof, recognition, temporal, score, representation, figure, holistic, human, learned, object, olympic, complex, popular, kds, weizmann, computer, feature, accuracy, ykt, image, occurrence, learn, inspired, performed] [pca, analysis, matrix, subspace, method] [dynamic, activity, time, lds, visual, natural, system, noise, motion, computed, reported] [binary, kernel, learning, performance, similarity, table, space, vector, proposed, dataset, linear, data]
Compressive Sensing MRI with Wavelet Tree Sparsity
Chen Chen, Junzhou Huang
Chen Chen, Junzhou Huang
[algorithm, set, statistical, result, partial, complexity, best] [total, conference, cost, international, based, good, average] [tree, structure, sampling, model, number, log, prior, bayesian] [wavelet, image, snr, ieee, figure, imaging, structured, variation, slep, mri, previous, cpu, magnetic, compare, fcsa, computer, bottom, resonance, medical, recpf, tvcmri] [reconstruction, sparsity, problem, sparse, solve, compressive, convex, method, sensing, amp, general, convergence, arg, solution, solved, compressed, gradient, conducted, subproblems, slow, numerous, scanning, inverse, fista, reconstructed, denotes, iterative, achieves, robust, simpler] [group, signal, time, brain, visual, left, processing] [proposed, real, original, fast, performance, existing, fourier, better, learning]
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz
Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz
[probability, risk, active, question, survey, set, consider, element, order] [observation, black, standard, people, function] [suicide, latent, model, distribution, ibp, attempt, number, gibbs, discrete, hidden, gaussian, log, posterior, znk, prevention, sampler, alcohol, nesarc, process, xnd, allows, prior, inference, university, indian, topic, likelihood, dirichlet, buffet, modeling, laplace, answered, base, nonparametric, nth, american, attempting, sampling, prevalence] [feature, map, improve, medical, figure, pixel, weighting, carlos, applied, madrid] [matrix, denoted, journal, low, propose, iteration, random] [population, processing, white, integrate] [data, table, vector, database, binary, approximation, national, well]
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand Negahban, Martin Wainwright
Alekh Agarwal, Sahand Negahban, Martin Wainwright
[algorithm, theorem, set, loss, bound, statistical, probability, version, convexity, example, length, setting, sequence, paper, supported, corollary, design, main, subset, logistic, observe, assume, mirror] [optimal, function, initial, approach, focus, expected, choice] [log, form, update, sample, parameter, will] [epoch, work, exploit] [stochastic, convergence, objective, optimization, rate, sparse, gradient, method, regularized, convex, problem, strong, radar, optimum, averaging, dual, constant, sparsity, condition, assumption, min, descent, eda, high, lipschitz, scaling, random, meaning, journal, solution] [natural] [error, learning, regularization, machine, vector, common, large, data, linear]
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der, Lawrence Saul
Matthew Der, Lawrence Saul
[class, set, algorithm, example, note, label, comparison, length, denote] [approach, explore, simplest, conference, international] [latent, model, posterior, gaussian, variable, distribution, factor, parameter, observed, mixture, inference, update, likelihood, bayesian, compute, maximum, prior, lda, odds] [training, learn, target, simple, transformation, scale, level, figure, larger, train, compare] [pca, analysis, high, multivariate, dimensional, matrix] [computed, noise, principal, rule] [lca, labeled, data, metric, learning, distance, linear, dimensionality, knn, error, coincidence, test, space, lmnn, bbc, mnist, isolet, variance, neighbor, table, machine, large, projected, closer, reduction, binary, similarity, nearest, multiway]
Hierarchical Optimistic Region Selection driven by Curiosity
Odalric-Ambrym Maillard
Odalric-Ambrym Maillard
[def, algorithm, order, regret, allocation, consider, case, term, optimistic, bound, setting, loss, oudeyer, notion, main, carpentier, assume, active, provide, curiosity, baranes, introduce, theorem, bubeck, antos, proof, paper, probability, upper, arm, interesting, choose, result, note, quantity, trivial, exists, spirit] [max, unknown, continuous, function, reinforcement, assumed, goal, optimal, standard, future, state, argmax] [partition, sample, sampling, hierarchical, node, tree, process, split] [region, driven, corresponds, leaf, work] [problem, assumption, estimation, analysis, objective, lipschitz, min, step, constant, positive, corresponding] [cell, time, difference, autonomous, intrinsic] [learning, space, variance, performance, metric, dimension, selection, error, well, point, select, challenging, better, binary]
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
John Duchi, Michael Jordan, Martin Wainwright, Andre Wibisono
John Duchi, Michael Jordan, Martin Wainwright, Andre Wibisono
[lower, mirror, minimax, set, online, theorem, respect, bound, algorithm, corollary, bandit, lemma, proof, quantity, attained, radius, universal, sequence, appendix, choose, exists, denote, implies, assume, uniform, sharp] [function, based, optimal, additional, choice, introduction, continuous, expectation] [log, distribution, parameter, full, separation, sample, factor] [apply, accuracy, work, second] [convergence, optimization, gradient, stochastic, convex, random, descent, assumption, norm, rate, constant, method, proposition, analysis, estimator, agarwal, proximal, problem, subgradient, achieve, lipschitz, objective, nesterov, dependence] [study] [learning, vector, selection, dimension, small, unbiased, machine, logarithmic, better, error, annual]
Trajectory-Based Short-Sighted Probabilistic Planning
Felipe Trevizan, Manuela Veloso
Felipe Trevizan, Manuela Veloso
[probability, set, path, algorithm, sequence, consider, applicable, asymptotically, theorem, example] [ssipp, state, planning, ssp, goal, policy, optimal, uncertainty, ssps, search, action, planner, tireworld, manage, international, based, uct, initial, car, bellman, heuristic, conference, reached, approach, cost, tire, reach, trajectory, execution, admissible, shortest, spare, reachable, reaching, mdpsim, terminates, ptimal, round, pmax, reachability, scheduling, move, olver, determinization, intelligence] [probabilistic, triangle, number, maximum] [figure, location, experiment, applying, allowed] [problem, solution, size, stochastic, closed, assumption, iteration, solves, solving] [dynamic, time, represents] [space, original, performance, learning, machine, performs]
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Andreas Argyriou, Rina Foygel, Nathan Srebro
[set, complexity, equivalent, algorithm, inequality, class, loss, bound, consider, proof, statistical, series] [max, tighter, optimal, function, good, standard] [sample, log, factor, parameter, number, newsgroups] [accuracy, figure, corresponds, expect, work] [norm, elastic, net, convex, sparse, relaxation, lasso, sparsity, solution, cardinality, tightest, dual, journal, proximal, method, mse, matrix, gradient, penalty, min, proposition, gauge, corresponding, optimization, shrinkage, require] [unit, prediction, computation, group, correlated, difference, outer, neural] [data, learning, regularization, regression, vector, better, ball, linear, trace, error, largest, test, predictor, fast, validation, synthetic, large, heart, machine, squared, similarity, approximation, selected, table, hull]
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus du Plessis, Song Liu, Ichiro Takeuchi
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus du Plessis, Song Liu, Ichiro Takeuchi
[change, probability, true, class, set, supported, bound, consider, institute, note, exists] [optimal, function, based, standard] [gaussian, exp, parameter, model] [figure, directly, training, detection, score, second, pattern, ieee] [lsdd, density, estimation, estimator, estimating, rate, kdej, kdei, kliep, balance, estimated, positive, estimate, separately, problem, procedure, kde, naive, japan, objective, method, mext, argmin, smooth, kcp, suppose, propose, kfd, weighted, denotes] [difference, time, regularity, stage, neural] [kernel, error, learning, regularization, data, dataset, squared, proposed, test, vector, accurate, auc, machine, original, sst]
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
Zhihua Zhang, Bojun Tu
Zhihua Zhang, Bojun Tu
[theorem, set, statistical, lemma, interesting, proper, algorithm, measure] [function, approach, based, explore, science] [log, exp, laplace, poisson, bayesian, compound, gamma, prior, process, nonparametric, latent, university, distribution, construction, adlasso, variable, will, mixture, mcp, form, model] [feature, local, work, map, snr, training, scale] [nonconvex, penalty, concave, sparsity, subordinators, journal, density, sparse, subordinator, min, bernstein, corresponding, shrinkage, penalized, exponent, lasso, spe, improper, analysis, zou, inverse, technical] [tuning, connection, study, processing, neural, input, prediction, implement] [selection, regression, vector, machine, data, error, learning, rmse, datasets, variance, table, real, linear, logarithmic, select]
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson, Raquel Urtasun
Sanja Fidler, Sven Dickinson, Raquel Urtasun
[note, respect, class, hypothesis, assume, share, order, set, best] [approach, cost, driving, continuous] [model, number, latent, inference, compute, allows] [face, object, cuboid, training, deformable, deformation, detection, viewpoint, stitching, dpm, box, aspect, bounding, appearance, score, reason, overlap, visible, figure, detector, combined, visibility, train, feature, indoor, layout, trained, cad, top, bed, outperforms, angle, pose, ace, image, sliding, template, composed, room, representation, ieee, learned, work, scoring] [estimate, convex, quadratic, jointly, estimating, require] [position, orientation, predicted, represent, represents, autonomous, computed] [performance, point, well, dataset, relative, vector, anchor, hull]
Discriminatively Trained Sparse Code Gradients for Contour Detection
Ren Xiaofeng, Liefeng Bo
Ren Xiaofeng, Liefeng Bo
[set, algorithm, including] [average, approach, benchmark, evaluation] [comparing, normal, hierarchical] [contour, gpb, local, detection, depth, scg, color, image, oriented, matching, contrast, object, grayscale, precision, recognition, transform, work, learned, pooling, pixel, representation, double, global, learn, accuracy, scale, level, segmentation, figure, feature, nyu, globalization, scene, training, rich, single, automatically, apply, discriminative, codewords, ieee, half, directly, unsupervised, higher, chromaticity] [sparse, dictionary, gradient, pursuit, size, spectral, analysis, edge, step, sparsity] [power, coding, surface, natural] [code, learning, linear, data, orthogonal, dataset, svm, large, better, table, well, datasets]
Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
Mohsen Hejrati, Deva Ramanan
[set, algorithm, write] [car, approach, describe, focus, based, function] [model, mixture, number, tree, relational, structure, inference, will, discrete, associated] [shape, global, local, landmark, object, viewpoint, detection, visibility, camera, training, appearance, image, learn, occluded, capture, deformable, location, evaluate, morphable, directly, occlusion, visible, compare, reason, pose, improvement, single, variation, localization, differs, score, second, work, produce, pascal, scoring, detecting, multiple, spatial] [geometric, estimate, edge, estimated, estimation, corresponding] [basis, analyzing] [learning, linear, small, performance, error, well, dataset]
Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza, Drew Bagnell
Paul Vernaza, Drew Bagnell
[path, probability, sequence, class, case, fraction, algorithm, corollary, empirical, sense, exactly, logistic] [function, state, continuous, maxent, correct, sampled, trajectory, programming, future, initial, illustrated, cost, goal, based] [partition, log, distribution, compute, modeling, jack, discrete, inference, jumping, revealed, exp, model, maximum, slice, described, computing, number, enables, will, hdmaxent, integral, gaussian, associated, odds, prior] [feature, learned, work, adjacent, applied, rotation, frame, figure, capture, appear, side, leverage] [method, dimensional, low, problem, entropy, high, suppose, compressed, random] [time, motion, computed, dynamic, natural, threshold] [learning, symmetry, ratio, point, space, projected]
Variational Inference for Crowdsourcing
Qiang Liu, Jian Peng, Alex Ihler
Qiang Liu, Jian Peng, Alex Ihler
[algorithm, true, algorithmic, case, including, labeling, note, version, provide, lower, equivalent, oracle] [belief, standard, choice, optimal, deterministic] [prior, majority, beta, distribution, haldane, assignment, inference, log, update, discrete, number, karger, variational, lij, propagation, bayesian, generative, complicated, posterior, message, factor, joint, model, amf, computational, form, maximum, degree, marginal] [perform, work, local, improve, commonly] [method, symmetric, random, rate, graphical, graph, problem, general, denotes, arg, independent, theoretical] [voting, simulated, processing, neural] [performance, error, task, data, crowdsourcing, worker, dataset, special, well, learning, large]
Ensemble weighted kernel estimators for multivariate entropy estimation
Kumar Sricharan, Alfred Hero III
Kumar Sricharan, Alfred Hero III
[hypothesis, assume, order, statistical, observe, uniform, set, theorem, partial, paper, probability, testing, volume, annals, class] [standard, optimal, function, parametric, based, null, context] [factor, sample, nonparametric, distribution, likelihood, number] [feature, variation, ieee, figure] [estimator, weighted, entropy, mse, density, estimation, rate, truncated, estimate, convergence, random, method, size, convex, corresponding, underlying, multivariate, problem, entropic, positive, der, rac, optimization, roc, graph, solving, require, journal, bandwidth, smooth, constant] [bias, van, weight, signal] [kernel, ensemble, proposed, vector, data, variance, functionals, dimension, test, functional, histogram, machine, performance, individual, learning, superior, auc, squared, statistic, neighbor]
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo
Hyunsin Park, Sungrack Yun, Sanghyuk Park, Jongmin Kim, Chang D. Yoo
[set, result, segment, considered, lower, consists, paper, term] [function, observation, korea, based, state] [model, phoneme, hmm, latent, gaussian, process, cvgpds, emission, parameter, variational, dependency, vgpds, inducing, log, hyperparameters, modeling, generated, structure, prior, nonparametric, number, sample, hidden, south, distribution, markov, full, degree, kaist] [speech, acoustic, training, three, complex, ieee, recognition] [matrix, estimation, sparse, covariance, estimated] [input, time, nonlinear, dynamical, noise, experimental, timit, represent, effectiveness, limited] [kernel, proposed, variance, data, synthetic, table, approximation, dimension, constraint, dataset, selected, space, performance, machine, better, learning, rbf, test, datasets, error, overcome]
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
Evan Archer, Il Memming Park, Jonathan Pillow
Evan Archer, Il Memming Park, Jonathan Pillow
[probability, note, provide, set, alphabet, consider, induced, derive, empirical, setting, mixing] [expected, function, choice, standard, unknown, sampled, focus, total, approach] [prior, distribution, posterior, pym, discrete, bayesian, dirichlet, number, mixture, pyp, sample, credible, inference, parameter, nsb, log, form, process, countably, analytic, observed, sampling, exponential, will, moby, conditional, compute, computing, allows] [figure, work] [entropy, estimate, denotes, estimation, estimator, random, estimating, novel, problem, journal] [neural, bias, computation, natural, frequency, narrow, spike, weight, retinal, physical] [data, variance, large, space, proposed, small, construct, review, fast]
A Geometric take on Metric Learning
Søren Hauberg, Oren Freifeld, Michael Black
Søren Hauberg, Oren Freifeld, Michael Black
[consider, measure, example, set, order, length, assume, provide, john] [approach, standard, average, conference, based, initial, function, current] [computing, compute, exponential, model, supplementary, structure, cluster, lda, performing] [feature, local, learned, body, shape, learn, map, perform, training, straight, human, figure, vision, computer, ieee] [analysis, smooth, illustrate, geometric, constant, pca, solve] [principal, curve, prediction, system, suggested] [metric, riemannian, data, space, learning, euclidean, distance, tensor, tangent, geodesic, manifold, dimensionality, regression, point, logarithmic, linear, error, shoulder, reduction, nearest, machine, pga, smoothly, test, vector, generalizing, mapping, wrist]
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs
Aharon Birnbaum, Shai Shalev Shwartz
Aharon Birnbaum, Shai Shalev Shwartz
[theorem, loss, polynomial, algorithm, bound, probability, proof, upper, perceptron, runtime, malicious, online, case, surrogate, lramp, servedio, set, halfspaces, corollary, lemma, complexity, learner, example, guarantee, exists, respect, derived, main, minimizing, margin, pac, sequence, risk, derive, result, ramp, empirical, odd, cristianini, statistical, inequality, distributional, mistake, studied, hinge] [function, based, required, unknown, additional] [sample, factor, number, distribution, will, exponential] [training, noisy, computer] [convex, journal, solution, rate, claim, min, corresponding, problem, solves, satisfy, yield, size] [equation, time, long, noise, prediction] [learning, kernel, vector, error, predictor, rkhs, approximation, machine, svm, linear, space, original, mapping, better, well]
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar, Dean Foster, Daniel Hsu, Sham Kakade, Yi-Kai Liu
Anima Anandkumar, Dean Foster, Daniel Hsu, Sham Kakade, Yi-Kai Liu
[algorithm, probability, assume, theorem, note, set, active, proof, drawn, version, remark, case, empirical, allocation, excess, variant, complexity, including, lim] [based, approach] [latent, topic, dirichlet, distribution, model, parameter, document, lda, form, separation, mixture, observed, word, hidden, discrete, gaussian, full, markov, moment, component, number, exchangeable, algebraic, diagonalization, variable, recovers, skewed, svds] [work, canonical, multiple, single, product, simple, svd] [independent, matrix, singular, method, decomposition, correlation, assumption, condition, analysis, spectral, random, problem, provable, eca, estimation, estimating] [noise, power, additive, represents] [learning, vector, tensor, column]
Assessing Blinding in Clinical Trials
Ognjen Arandjelovic
Ognjen Arandjelovic
[statistical, outcome, probability, change, case, studied, comparison, consider, paper] [control, belief, approach, assessment, correct, standard, key, expected] [assigned, assignment, exp, posterior, model, distribution, observed, inference, indicates, meaningful, described] [level, work, figure, weighting, map, previous, matching, experiment] [method, corresponding, estimate, positive, novel, analysis, general, plot, type] [treatment, blinding, trial, group, intervention, effectiveness, auxiliary, response, james, fig, clinical, nature, interpretation, bang, blinded, feedback, perfect, collected, lack, insight, proportion, unblinding, unblinded, placebo, participant, decisive, incorrect, inherent, subgroup, computed, mcg, administered, interpret, aforesaid, xcg, hoc] [data, proposed, differential, small, well]
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-Jui Hsieh, Inderjit Dhillon, Pradeep Ravikumar, Arindam Banerjee
Cho-Jui Hsieh, Inderjit Dhillon, Pradeep Ravikumar, Arindam Banerjee
[algorithm, theorem, consider, minimize, bound, feasible, denote, cut, paper, case, assume, smaller, prove, complexity, order, derive, main, minimizing, set, bounded] [based, faster, initial, optimal, science] [log, partition, will, computational, structure, sample, gaussian, cluster, number, hierarchical, node, university] [figure, computer, pattern, gmrf] [covariance, matrix, inverse, solution, det, divide, conquer, problem, method, solve, sparse, solving, spectral, estimation, normalized, climate, quic, block, random, close, nonzero, thresholded, sij, leukemia, propose, arg, optimization, decomposition, solver, stock, weighted, assumption, corresponding, dual, regularized, estimator] [framework, time] [clustering, real, proposed, original, regularization, point, synthetic, data, performance, table, machine, dataset]
Semiparametric Principal Component Analysis
Fang Han, Han Liu
Fang Han, Han Liu
[oracle, set, paper, lemma, consistency, version, provide, statistical, considered, main, theorem, algorithm] [qqq, max, parametric, idea, standard] [component, sample, model, gaussian, log, latent, will, distribution, marginal, variable] [transformation, figure, subject, belonging, feature, three] [pca, correlation, matrix, copula, coca, nonparanormal, analysis, sparse, pearson, covariance, spearman, leading, high, spca, rho, dimensional, rate, fpr, tpr, corresponding, estimator, eigenvector, pmd, estimate, method, estimation, tissue, journal, tumor, theoretical, utilize, dominant, arg, procedure, semiparametric, multivariate, family, monotone, random, truncated, convergence, constant, estimated, estimating, prostate, univariate, han, tpower] [principal, equation, power, represents] [data, eigenvectors, proposed, selection, fast]
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Tuo Zhao, Kathryn Roeder, Han Liu
[statistical, theorem, algorithm, lemma, true, denote, set, proof, provide, annals] [approach, tradeoff, calculate, provided] [computational, topic, gaussian, supplementary, distribution, model, log, snp, number, normal, truncation, parameter] [figure, directly, module] [neighborhood, pursuit, graph, nonparanormal, positive, rate, estimator, skeptic, graphical, method, estimation, high, matrix, elementwise, naive, gradient, correlation, smoothed, proximal, journal, theoretical, perturbation, dimensional, lasso, roc, solution, propose, sparsity, sparse, tau, recovery, estimate, smooth, achieves, semiparametric, corresponding, dual, argmin, problem, nnp, estimated, stock] [smoothing, false, represent] [proposed, projection, large, performance, fast, existing, selection, vector, data, learning, approximation, machine, small]
"Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter"
Dmitri Chklovskii, Daniel Soudry
Dmitri Chklovskii, Daniel Soudry
[energy, order, note, consider, term] [current, optimal, function, cost, total, additional, continuous] [poisson, number, predictive, sampling] [figure, train, precision, temporal, ieee, view, higher, mode] [rate, high, spectral, analysis, reconstruction] [spike, somatic, signal, analog, power, generation, mechanism, neural, oversampling, digital, decoding, encoding, biological, noise, neuron, nyquist, input, spectrum, conversion, basic, frequency, experimental, neuronal, filter, coding, firing, encoder, modulator, amplitude, framework, viewed, computed, nature, filtered, waveform, rectification, decoded, time, encoded, shaping, filtering, difference, prediction, linearly, encode, mismatch, visual, feedback, synaptic, weight, reduce] [error, linear, quantization, relative, code, better, squared]
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro Di Lena, Pierre Baldi, Ken Nagata
Pietro Di Lena, Pierre Baldi, Ken Nagata
[sequence, set, generalization, best, comparison] [approach, standard, conference, assessment] [hidden, structure, model, separation, number, form, attempt, pair, maximum] [contact, training, protein, accuracy, stack, layer, temporal, deep, spatial, residue, architecture, level, rnn, trained, figure, feature, map, three, previous, train, nnk, secondary, folding, larger, nni, native, produced, solvent, casp, single, depth] [size, general, neighborhood, problem, gradient, method, positive] [prediction, network, neural, predicted, time, range, input, long, implemented] [learning, performance, machine, table, test, vector, small, well, supervised]
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand
Amy Greenwald, Jiacui Li, Eric Sodomka
Amy Greenwald, Jiacui Li, Eric Sodomka
[probability, set, induced, theory, respect, term, derived, depends, best, drawn, highest, assume, corollary] [bidder, auction, sequential, mdp, bid, equilibrium, round, transition, assessment, state, expected, strategy, utility, approximate, incomplete, agent, decision, valuation, bidding, function, search, demand, opponent, optimal, playing, black, won, converges, policy, auctioneer, sold, conference, economic, assuming] [number, distribution, model, university, monte, carlo, bayesian, computing, markov] [multiple, exploit] [procedure, type, theoretical, method, symmetric, solve, iteration, iterative, analytical, convergence, stable] [dynamic, actual, represent, prediction] [learning, distance, vector, private, large]
The topographic unsupervised learning of natural sounds in the auditory cortex
Hiroki Terashima, Masato Okada
Hiroki Terashima, Masato Okada
[consistent, result, share] [primary, additional, international] [model, computational, distribution, component, observed, generated, overcomplete] [figure, complex, local, map, simple, layer, human, image, second, learned, previous, single, global, published] [correlation, sparse, journal, independent, smooth, analysis, reduced, matrix] [natural, auditory, distant, tonotopy, harmonic, topographic, visual, frequency, retinotopy, demonstrated, neighbouring, coding, receptive, input, disorder, topography, unit, disordered, pitch, nonlinear, tica, cortex, adapted, illustrates, neighbourhood, activity, position, greater, discontinuity, lowest, mechanism, organization, cortical, detailed, difference, study, suggests, phonetic] [learning, functional, distance, small, data, space]
Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Hal Daume III, Jason Eisner
Jiarong Jiang, Adam Teichert, Hal Daume III, Jason Eisner
[oracle, algorithm, example, measure, setting, set, case, sentence, consider, chosen, choose, notion, best] [policy, reward, action, reinforcement, parser, parse, parsing, function, state, apprenticeship, constituent, credit, approach, pruning, trajectory, current, agent, optimal, agenda, correct, viterbi, inside, total, chart, future, temp, prioritization, tradeoff, search, goal, initial, chooses, popped, good, grammar, trading, andrew, decision] [inference, number, computational, tree, will, log, model, hierarchical] [accuracy, training, learn, recall, learned, work, priority, train, build, simple] [gradient, problem, running, stochastic, high, achieve, step] [speed, complete, time, shaping] [learning, space, better, large, test]
A Better Way to Pretrain Deep Boltzmann Machines
Ruslan Salakhutdinov, Geoff Hinton
Ruslan Salakhutdinov, Geoff Hinton
[bound, algorithm, lower, set, consider, replace, probability, note] [belief, average, based, approximate, international] [hidden, variational, modelling, model, generative, prior, log, distribution, replicated, will, allows, likelihood, salakhutdinov, form, posterior, marginal, exp] [pretraining, deep, rbm, boltzmann, dbm, training, layer, three, second, work, train, rbms, tied, stack, compared, dbms, trained, visible, half, restricted, improve, norb, contrastive, achieved, improves, simple, adding, global, composed, figure, replacing, top] [procedure, stochastic, estimate, constrained] [network, neural] [learning, machine, better, test, original, data, mnist, existing, table, approximation, asymmetric]
One Permutation Hashing
Ping Li, Art Owen, Cun-Hui Zhang
Ping Li, Art Owen, Cun-Hui Zhang
[logistic, set, testing, example, consider] [search, cost, strategy, standard, expanded] [will, number, sample, generate, occur] [accuracy, figure, feature, compared, apply, training, simple, expect, larger, scale, outperforms] [random, matrix, sparse, nonzero, method, procedure, size, achieves, sublinear, practical] [lowest, time] [data, hashing, permutation, original, scheme, minwise, nemp, empty, linear, binary, perm, hashed, learning, dataset, preprocessing, ping, svm, nonzeros, rmat, webspam, neighbor, vector, hash, test, point, large, small, better, smallest, regression, inner, table, bin, nmat, text, conduct, machine, christian, signature]
Unsupervised Template Learning for Fine-Grained Object Recognition
Shulin Yang, Liefeng Bo, Jue Wang, Linda Shapiro
Shulin Yang, Liefeng Bo, Jue Wang, Linda Shapiro
[algorithm, set, term, subset, best, maximizing, iter] [based, standard, approach, initial, function] [model, relation, number, parameter, meaningful, updating] [template, object, image, recognition, spatial, shape, learned, cvpr, training, pyramid, feature, kdes, location, matching, aligned, work, detected, accuracy, score, figure, detection, capture, bird, extracted, achieved, higher, learn, dog, compared, level, pattern, region, align, baseline, pooling, match, pose] [size, edge, penalty, sparsity, relationship, sparse] [wij, visual, represents, equation, coding, left] [learning, kernel, proposed, table, selected, dataset, common, combination, linear, vector]
Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J Movshon, Eero Simoncelli, HHMI)
Brett Vintch, Andrew Zaharia, J Movshon, Eero Simoncelli, HHMI)
[set] [function, average, based] [model, described, number, observed] [spatial, complex, simple, pooling, figure, accuracy, second, include, training, directly, canonical, spatially, multiple, local, convolutional, single, sum] [journal, subspace, rate, analysis, objective, descent, covariance, method, correlation, estimated, estimating] [subunit, stimulus, stc, neural, visual, response, simulated, spike, shifted, cell, nonlinearity, stage, receptive, excitatory, nonlinear, channel, suppressive, localized, macaque, noise, physiological, amount, sensory, basis, input, repeated, spiking, biological, auditory, nonlinearities, rectifying, white, population, measured, afferent, direction, area, cat] [data, linear, performance, test, squared, well, kernel, orthogonal, error]
Co-Regularized Hashing for Multimodal Data
Yi Zhen, Dit-Yan Yeung
Yi Zhen, Dit-Yan Yeung
[set, query, loss, algorithm, called, length] [function, based, search, approach] [form, number, david] [image, multimodal, training, recall, precision, learn, feature, retrieved, map, cccp, three, learned, retrieval, multiple, semantic, applied, compare, figure] [size, objective, optimization, method, convex, problem, iteration, procedure, stochastic, spectral, theoretical] [curve, varying, difference, reported, equation, expressed] [hash, crh, data, hashing, learning, text, database, cvh, cmssh, similarity, point, hfl, performance, ybn, kernel, hamming, bit, xan, code, performs, projection, nearest, tth, large, binary, compact, table, preserving, better]
Non-parametric Approximate Dynamic Programming via the Kernel Method
Nikhil Bhat, Ciamac Moallemi, Vivek Farias
Nikhil Bhat, Ciamac Moallemi, Vivek Farias
[set, algorithm, complexity, guarantee, denote, consider, proof, quantity, mathematical, bound, provide, term, probability, online] [policy, approximate, optimal, rsalp, adp, state, approach, sampled, programming, parametric, average, queueing, function, queue, salp, bellman, good, provided, control, standard, decision, reinforcement, choice, appears, scheduling, max, mdp] [sample, number, sampling, will, parameter, computational, distribution] [server, work, ieee, feature] [program, problem, solution, exact, method, corresponding, solving, positive, establish, theoretical, size, optimization, analysis, solve, formulation, matrix, stochastic, solved, iteration] [dynamic, basis, weight, network, time, computation, system] [approximation, performance, regularization, space, error, vector, linear, well, dimension, kernel, hilbert, large, inner, mit]
Selecting Diverse Features via Spectral Regularization
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
[set, algorithm, submodular, theorem, lemma, subset, denote, result, maximizing, notion, consider, increasing, prove, order, perturbed, guarantee, proof, chosen] [function, search, optimal, approach, goal, based] [number, gaussian, maximum, will, model] [feature, target, local, work, capture, apply, figure, directly] [greedy, lasso, matrix, spectral, regularizers, entropy, problem, corresponding, solution, monotone, perturbation, size, smoothed, robustness, solving, rank, objective, random, covariance, sparse, constant, provable, hermitian, antitone, derivative] [spectrum, correlated, maximization, prediction] [regularizer, selection, approximation, regression, diversity, vector, selected, diverse, error, linear, submodularity, fde, regularization, fgr, operator, differential, ratio, gls, selecting, select, fld, data, variance, perturbing, mnist]
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong, Arian Maleki
Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong, Arian Maleki
[algorithm, theorem, note, lemma, set, bound, result] [optimal, initial, function, choice, continuous] [number, log, university, gaussian, maximum, sample, likelihood, generated, described] [multiple, perform, work] [covariance, problem, matrix, sparse, convergence, inverse, step, method, convex, estimation, graphical, quic, primal, journal, solving, rate, gradient, dual, iterative, numerical, iteration, proximal, shrinkage, glasso, thresholding, siam, solve, iterates, general, solution, size, dimensional, constant, sparsity, block, condition, satisfy, supplemental, denotes, quadratic, cholesky, contraction, positive, theoretical, duality, lipschitz, tolerance, yield, analysis, lasso, mazumder, stanford, high, det] [presented] [linear, datasets, synthetic, proposed, selection, point, approximation, table]
CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem
Henrik Ohlsson, Allen Yang, Roy Dong, Shankar Sastry
Henrik Ohlsson, Allen Yang, Roy Dong, Shankar Sastry
[algorithm, theorem, true, classical, consider, report, paper, set, result] [approximate] [number, will, model, university] [complex, retrieval, figure, image, transform, experiment] [cprl, solution, problem, sparse, recover, matrix, admm, xxh, cpr, phaselift, sdp, compressive, gcprl, nonsmooth, convex, sparsest, lifting, optimization, fewer, greedy, rank, needed, recovered, random, numerical, nonzero, journal, method, technical, recovery, unique, hermitian, general, mutual, alternating, plot, theoretical, solved, dictionary, minx, coherence, rip, grant, analysis, solve, sensing, sparsity, electrical, department, novel, reconstruction, usa] [phase, signal, nonlinear, noise, magnitude, direction, optical, system, basis, output] [linear, fourier, squared, projection, operator, technique, vector]
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
Angela Eigenstetter, Bjorn Ommer
Angela Eigenstetter, Bjorn Ommer
[algorithm, set, best, case, complexity, paper] [based, average, function, approach, evaluation] [degree, parameter, number, model, performing] [feature, curvature, object, detection, embedded, descriptor, hog, pascal, training, image, representation, drsvm, straight, linsvm, build, voc, shape, second, apply, compare, figure, cutting, fiksvm, precision, local, applying, higher, intersection, recognition, applied, global, discriminative, consisting] [method, problem, edge, high, dimensional, optimization, support, regularized, solution, iterative, min, step, gradient] [orientation, suggested, boundary, amount, natural] [selection, svm, dimensionality, performance, kernel, linear, learning, vector, validation, reduction, data, proposed, regularization, table, dataset, combination]
Action-Model Based Multi-agent Plan Recognition
Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati
Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati
[set, algorithm, hard, note, property, assume, respect, element, theorem, called, partial] [team, plan, dare, action, noop, based, library, null, recognize, state, percentage, approach, initial, goal, mapr, agent, max, otjk, built, science, atk, recognizing, observation, provided, recognized, incomplete, calculate, total, executable, hankz] [number, observed, model, likelihood, partition, variable, probabilistic, will, assigned] [recognition, figure, build, composed, cpu, larger] [problem, step, weighted, soft, corresponding, solve, solution, solving] [activity, time, suggests, input, output, presented, framework, dynamic] [trace, candidate, proposed, space, large, better]
The Time-Marginalized Coalescent Prior for Hierarchical Clustering
Levi Boyles, Max Welling
Levi Boyles, Max Welling
[branch, probability, consistent, order, set, denote, uniformly, example, class, ordered, consider, provide] [total] [tree, prior, coalescent, model, node, sample, sampling, process, likelihood, dirichlet, diffusion, hierarchical, bayesian, posterior, slice, distribution, npb, marginalizing, ddt, structure, exchangeable, inference, stick, number, pair, tpi, associated, message, beta, typically, factor, parent, will, gibbs, proportional, compute, unbalanced, generated, allows, pruned, gaussian, ordering, pdf, attaching] [figure, internal, remaining, directly, dpm, applied, computer, adding, perform] [density, method, leukemia, achieve, random] [time, generation, neural, processing, brownian] [data, clustering, performance, dataset, point, variance, well]
Factorial LDA: Sparse Multi-Dimensional Text Models
Michael Paul, Mark Dredze
Michael Paul, Mark Dredze
[share, set, arbitrary, assume, consider, statistical, setting] [approach, focus, based, idea, standard, additional, grammar] [word, model, topic, prior, latent, distribution, tuples, perplexity, lda, number, document, dirichlet, will, tam, corpus, factor, acl, array, clep, sampling, component, sample, factorial, tuple, form, token, modeling, liberal, variable, structure, generative, beta, discrete, nomics] [structured, work, speech, figure, single, enforce, learn, top, second, three, precision, human, product, multiple] [sparsity, sparse, gradient, matrix, optimization, jointly, high, lasso, independent, sage] [bias, increase] [data, vector, binary, better, text, common, test, worse, sentiment]
Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Kilian Weinberger, Fei Sha, Gert Lanckriet
Dor Kedem, Stephen Tyree, Kilian Weinberger, Fei Sha, Gert Lanckriet
[set, respect, best, margin, simplex, algorithm, case, introduce, extension, change, probability] [function, standard, additional, sampled, international, search] [tree, highly, parameter, explicitly] [transformation, learn, learned, target, computer, compare, work, local, training, learns, single, directly, global, figure, feature, outperforms, vision, simple, boosted] [gradient, optimization, objective, general, journal, neighborhood, method, propose, matrix, unconstrained] [input, nonlinear] [data, metric, lmnn, learning, distance, linear, histogram, dimensionality, mapping, knn, large, nearest, space, regression, neighbor, error, euclidean, similarity, machine, original, optimize, table, boosting, performance, mahalanobis, vector, approximation, selected, abcc, preserve, reduction]
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach
Dijun Luo, Chris Ding, Heng Huang, Feiping Nie
Dijun Luo, Chris Ding, Heng Huang, Feiping Nie
[algorithm, cut, notice, lemma, set, label, variant] [based, function, optimal, max, standard, average, international, conference] [model, updating, develop, gaussian, number, will, parameter, split] [unsupervised, global, figure, compare, ieee, accuracy, three, learn, directly, local, simple, multiple, apply] [matrix, graph, min, solution, optimization, method, positive, rank, low, problem, normalized, lagrangian, solve, multiplier, convex, singular, corresponding, toy, arg, symmetric, robust, augmented, random, spectral, theoretical, analysis, alm, subproblems, high] [input, experimental, wij, perfect, neural] [learning, similarity, data, nlk, clustering, constraint, machine, original, gij, preprocessing, linear, kernel, quality, trace, performance, binalpha]
The Bethe Partition Function of Log-supermodular Graphical Models
Nicholas Ruozzi
Nicholas Ruozzi
[theorem, lemma, true, lower, conjecture, admits, pairwise, bound, variant, bipartite, result, proof, set, case, attractive, easily, series, cover, example, statistical, inequality, vontobel, generalization, resolve, notice, prove, hold, provide, element, conjectured, induction, theory, consequence, class, extended, vertex] [function, belief, strategy, stationary] [partition, will, factor, log, node, model, base, propagation, number, variational, variable, inference, marginal, discrete] [work, second, product, computer] [graph, bethe, graphical, copy, corresponding, independent, general, relationship, problem, nonzero] [potential, loop, suggests, ith] [vector, approximation, factorization, distinct, nonnegative, binary, row, special, construct, equal, largest]
Super-Bit Locality-Sensitive Hashing
Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang, Qi Tian
Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang, Qi Tian
[length, lemma, denote, theorem, corollary, uniformly, smaller, algorithm, pairwise, set, easy, provide, symposium] [approximate, sampled, conference, international] [normal, distribution, will, independently, process, computing, university] [depth, angle, computer, figure, ieee, retrieval, sift, image, pattern, experiment, produced] [random, estimate, method, estimating, distributed, estimation, high, subspace, grassmann, normalized] [unit] [sblsh, data, hashing, code, angular, variance, binary, similarity, lsh, hamming, projection, unbiased, distance, nearest, proposed, neighbor, hwi, large, vector, orthogonalize, dimension, test, hash, tourism, reduction, original, orthogonal, squared, isotropic, learning, error, minwise, real, photo, datasets, conduct, orthogonalizing, vin, ping]
Collaborative Ranking With 17 Parameters
Maksims Volkovs, Rich Zemel
Maksims Volkovs, Rich Zemel
[ranking, set, note, main, best, relevance] [approach, preference, function, additional, based, domain, standard] [model, number, latent, typically, observed, will, inference, highly, pair, represented] [training, learned, trained, work, scoring, learn, target, feature, three, applied, figure, apply, extract, incorporate] [problem, matrix, rank, method, normalized, neighborhood] [account, transfer, requires] [user, rating, collaborative, item, learning, dataset, wlt, datasets, small, table, similarity, pmf, ndcg, rated, well, proposed, optimize, neighbor, test, advantage, challenge, data, squared, performance, original, existing, large, recommend, excellent]
Rational inference of relative preferences
Nisheeth Srivastava, Paul Schrater
Nisheeth Srivastava, Paul Schrater
[set, theory, equivalent, assume, partial, probability, mathematical, reference, case, inductive, subset, measure] [desirability, utility, choice, preference, context, decision, rational, option, belief, frog, agent, simply, economic, function, diner, history, observation, reinforcement, possibility, introduction, steak, expected, additional, consumer, observing, standard, intuition, salmon, menu, approach, pain, understanding, earlier, observability, compromise, based] [inference, observed, will, discrete, probabilistic, modeling, university, likelihood, bayesian, model, form, distribution, relation] [human, representation, variation, work] [assumption, scalar, stable] [behavior, framework, absolute, encoding, dynamic, normative, static] [relative, learning, item, point, ordinal, existing, data, select]
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
Simon Lyons, Amos Storkey, Simo Sarkka
Simon Lyons, Amos Storkey, Simo Sarkka
[path, set, term, rejection, true, algorithm, theory] [standard, behaviour, initial, observation, choice, continuous, based, describe, control, good] [diffusion, process, inference, gaussian, sample, xnl, proposal, will, expansion, posterior, coloured, parameter, particle, distribution, observed, gibbs, sampling, allows, employ, mcmc, compute, conditional, draw, update, chain, markov, likelihood, discretisation, typically, form, marginal, component, prior, highly, dxt, university, variational] [figure, tool, sum, work] [stochastic, method, estimation, journal, numerical, condition, solution, covariance, multivariate, general, propose] [nonlinear, noise, equation, time, brownian, white, dwt, correction, motion, basis, natural] [linear, approximation, differential, well, data]
Online allocation and homogeneous partitioning for piecewise constant mean-approximation
Alexandra Carpentier, Odalric-Ambrym Maillard
Alexandra Carpentier, Odalric-Ambrym Maillard
[algorithm, order, def, allocation, lemma, setting, lder, oracle, online, consider, active, chosen, class, minimax, assume, piecewise, choose, lim, case, decide, empirical, introduce, measure, note, written, bound, smoothness, term, probability, set, minimize, allocate, uniformly, bounded, uniform, example, budget, best, lebesgue] [optimal, function, strategy, goal, continuous, provided, choice, unknown, based] [partition, sample, number, sampling, distribution, factor] [region, second, allowed, local, previous, work, higher] [constant, estimate, quadratic, estimation, estimator, problem, random, batch, procedure] [noise, homogeneous, cell, adaptive, time] [approximation, variance, learning, performance, error, space, partitioning, histogram, point]
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, BILAL PIOT, Olivier Pietquin
Edouard Klein, Matthieu Geist, BILAL PIOT, Olivier Pietquin
[algorithm, set, assume, consider, notice, margin, bound, induced, consists, aim, order, write] [policy, expert, reward, function, expectation, scirl, irl, optimal, state, approach, reinforcement, parameterized, decision, conference, sampled, good, car, pirl, evaluation, bellman, mdp, international, andrew, action, control, max, driving, apprenticeship, unknown, provided] [parameter, will, distribution, allows, associated, sampling, computational, component, number, model] [feature, score, training, structured, applying, work, temporal] [estimate, inverse, estimating, solving, matrix, estimated, require, problem, random, exact] [direct, linearly, rule, computed, basis, behavior, requires] [learning, vector, error, machine, proposed, well, large, existing, small, space, performance]
Dimensionality Dependent PAC-Bayes Margin Bound
Chi Jin, Liwei Wang
Chi Jin, Liwei Wang
[bound, margin, theorem, erd, generalization, probability, sharper, theory, denote, paper, empirical, respect, john, simultaneously, note, easy, consider, version, combining, francois, exist, depend, upper, langford, studied, prove, vladimir, choose] [deterministic, conference, international, mario, benchmark] [dependent, distribution, model, factor, base, draw, tend, degree, comparing, referred] [figure, train, training, feature, bounding, work, previous, larger, pascal, ieee] [proposition, stochastic, independent, random, normalized] [voting, multiplicative, homogeneous, neural, experimental, processing, study] [error, dimensionality, linear, test, large, machine, small, learning, dimension, improved, well, boosting, svm, space, data, dataset, datasets, independency, advantage, conduct]
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, Peter Dayan
Arthur Guez, David Silver, Peter Dayan
[algorithm, set, example, bandit, respect] [bamcp, state, search, planning, policy, action, exploration, mdp, optimal, maze, reward, transition, sampled, rollout, conference, belief, domain, simulation, reinforcement, knowledge, bamdp, uct, decision, agent, grid, current, sboss, return, lazy, uncertainty, idea, international, approach, bonus, function, standard, beb, discounted, required] [tree, sampling, bayesian, prior, posterior, number, parameter, model, node, sample, associated, markov, latent, distribution, described, update] [figure, root, single, sum, work] [sparse, procedure, method, solve] [time, requires, presented] [performance, large, learning, machine, space, existing]
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
Ashwini Shukla, Aude Billard
Ashwini Shukla, Aude Billard
[class, set, example, testing, case, term, combining, fact, result] [function, state, control, trajectory, standard, international, conference, choice, optimal, max, reach, based] [model, generated, gaussian, compute, ability] [figure, training, region, multiple, single, ieee, object, cross, learned, learn, local, combined] [support, positive, problem, denotes, stable, method, gradient, analysis, corresponding] [modulation, dynamical, attractor, grasping, desired, motion, robot, modulated, system, robotics, rroa, presented, roa, velocity, spurious, autonomous, ensure, lyapunov, range, stability, attraction, width, represent, datt, boundary] [data, kernel, svm, space, original, error, learning, vector, point, partitioning, regression, synthetic, distance, sensitivity, ensures]
On the connections between saliency and tracking
Vijay Mahadevan, Nuno Vasconcelos
Vijay Mahadevan, Nuno Vasconcelos
[hypothesis, version, measure, probability, set, depends] [based, average] [model, posterior, normalization, observed, supplement] [tracking, saliency, target, feature, distractor, distractors, contrast, salient, experiment, accuracy, discriminant, object, human, location, figure, background, spatial, heterogeneity, attention, reliability, vision, three, map, center, second, psychophysics, ieee, multiple, track, success, surround, disk, video, architecture, simple, tracker] [dependence, rate, neighborhood] [visual, orientation, time, plausible, area, network, neural, prediction, implemented, attentional, green, mechanism, lip, evidence, behavior, response, red, motion, biologically, localized] [performance, selection, distance, common, well, proposed]
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
Uri Maoz, Shengxuan Ye, Ian Ross, Adam Mamelak, Christof Koch
Uri Maoz, Shengxuan Ye, Ian Ross, Adam Mamelak, Christof Koch
[patient, institute, result, algorithm, hospital] [action, game, current, player, opponent, average, chance, choice] [number, separation, relation, associated, lifted, will] [accuracy, computer, training, subject, figure, human, trained, window, eeg] [analysis] [time, prediction, system, hand, movement, onset, signal, voluntary, ort, trial, neural, intracranial, experimenter, predict, brain, left, screen, raise, tested, clinical, response, predicted, implanted, motor, drop, classifier, phase, played, cheetah, conscious, weight, lfp, california, predicts, suggested, experimental, tone, technology, leftward, etcs, intention, suggests, countdown, study, amount, ear] [data, real, combination, well, machine, error, binary, classification]
A lattice filter model of the visual pathway
Karol Gregor, Dmitri Chklovskii
Karol Gregor, Dmitri Chklovskii
[consistent, sequence, called, order] [optimal, operation, current, continuous] [backward, forward, model, predictive, observed] [figure, temporal, simple, second, center, larger, performed] [step, journal, corresponding] [lattice, prediction, visual, time, geniculate, receptive, lgn, stage, cell, peak, lagged, processing, cat, signal, lateral, natural, physiological, pathway, response, timing, rebound, greater, system, measured, subregion, experimentally, coding, activity, input, weight, laguerre, extent, neural, overlapped, longer, dynamic, computation, biological, sign, incoming, summation, impulse, ftk, retinal, phase, calculates, implementation, computed, experimental, actual, range, area, adaptive, subtracts, unit] [error, linear, well, learning]
Topology Constraints in Graphical Models
Marcelo Fiori, Pablo Musé, Guillermo Sapiro
Marcelo Fiori, Pablo Musé, Guillermo Sapiro
[extension, consider, true, example, order, comparison, including, version, set, property] [total, based, correct] [model, joint, number, topology, motif, node, prior, structure, inferred, genetic, degree, concentration] [figure, precision, three, second, work, detected, learned, detection, incorporate, incorporating, pattern, combined] [centrality, matrix, graph, estimation, edge, rate, topological, eigenvector, estimated, positive, graphical, optimization, propose, coli, estimate, problem, regulatory, correctly, corresponding, covariance, reconstructed, journal, underlying, leading, min, escherichia, random, sparse, method, adjacency, diagonal, penalty, favoring] [network, basic, connectivity, presented, simulated] [data, regression, proposed, selection, vector, better, performance, original, combination, technique, averaged]
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
Christian Mayr, Paul Stärke, Johannes Partzsch, Love Cederstroem, Rene Schüffny, Yao Shuai, Nan Du, Heidemarie Schmidt
Christian Mayr, Paul Stärke, Johannes Partzsch, Love Cederstroem, Rene Schüffny, Yao Shuai, Nan Du, Heidemarie Schmidt
[change, term, introduced, easily] [state, short, current, behaviour, action, integrated, based] [model, exponential, number, array, dependent, modeling] [applied, figure, top, local, contrast, directly, driven, previous, single] [measurement, positive, journal, constant] [memristive, plasticity, device, postsynaptic, voltage, time, rule, synaptic, lcp, bfo, weight, stdp, presynaptic, waveform, conductance, neuron, resistance, pulse, spike, neuromorphic, biological, negative, resistive, membrane, circuit, potential, switching, synapse, activity, decay, experimental, adaptation, chua, saturation, tpost, determined, germany, threshold, memristors, diode, memristor, mayr, actual, long, curve, dynamic] [learning, triplet, original, large, proposed]
Mixability in Statistical Learning
Tim Van Erven, Peter Gr?nwald, Mark Reid, Robert Williamson
Tim Van Erven, Peter Gr?nwald, Mark Reid, Robert Williamson
[mixability, set, loss, statistical, mixable, margin, theorem, case, ordinary, convexity, equivalent, stochastically, result, implies, uniform, example, exists, assume, ffull, note, lemma, theory, called, bounded, version, excess, hold, minimum, mammen, paper, best, risk, corollary, regret, call, proof, mdl, bayes, chernov, sequence, annals, setting, supermartingale] [sequential, function, standard, optimal, conference] [model, distribution, conditional, will, bayesian, sample, relation] [single, work] [stochastic, condition, convex, suppose, convergence, size, rate, min, density, general, random, constant, requirement, analysis] [prediction, interpretation, equation, interpreted, van, role] [learning, fast, relative, predictor, quality, performance]
Multi-Task Averaging
Sergey Feldman, Maya Gupta, Bela Frigyik
Sergey Feldman, Maya Gupta, Bela Frigyik
[minimax, risk, set, change, order, loss, note, minimizes, derive, empirical, consider, iid, theory, case, lower, theorem] [optimal, approach, expected, average, key] [sample, gaussian, number, will, maximum, parameter, university] [multiple, compared, second, work, sum, figure] [mta, constant, matrix, estimate, estimating, density, estimator, random, estimation, estimated, problem, solution, objective, yti, averaging, terrorism, terrorist, analysis, kde, convex, inverse, graph, diagonal, close, covariance, independent] [amount, neural, processing] [task, similarity, data, tth, kernel, regularization, learning, squared, variance, table, proposed, real, performance, laplacian]
"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs"
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi
[algorithm, set, theorem, denote, result, induced, probability, note, equivalent, interesting, fact, vertex, paper, introduce, approximated, exist, consider, minimum, combinatorial, consequence, case] [function, approach, based, choice, max, optimal, state] [log, computing, will, hidden, university, degree, maximum, allows] [multiple, evaluate] [graph, clique, problem, dense, subgraph, solving, planted, size, labelling, random, matrix, independent, density, sdp, high, solved, kkt, dimacs, identifying, chalmers, adjacency, recovery, min, optimization, kij, eigenvalue, maxi, complement, computationally, edge, solve, sparse] [time, requires, computation, computed, technology] [large, svm, common, orthogonal, well, kernel, learning, finding, mkl, original, approximation, vector, machine, art, relative]
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon Risacher, Andrew Saykin, Li Shen
[algorithm, set, lemma, consecutive, denote, prove, proof, measure] [total, goal, average, calculate, optimal, trajectory] [model, disease, progression, number, will] [cognitive, imaging, longitudinal, adni, feature, ravlt, temporal, figure, identify, mri, dbt, unfolded, three, capture, global, score, fluency, top, structured, reveal] [method, objective, norm, matrix, analysis, problem, convergence, min, solve, convex, propose, impose, optimization] [time, study, prediction, association, relevant, memory, predict] [learning, regression, data, proposed, tensor, neuroimaging, regularization, selection, task, selected, better, performance, trace, test, predicting, existing, summarized, small]
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
Joan Fruitet, Alexandra Carpentier, Remi Munos, Maureen Clerc
Joan Fruitet, Alexandra Carpentier, Remi Munos, Maureen Clerc
[algorithm, best, bandit, budget, uniform, order, set, paper, probability, upper, chosen, highest, provide, theory, empirical, bound, consider] [action, strategy, based, optimal, control, idea, reward, total] [number, beta, sample, will] [training, experiment, perform, eeg, subject, image, train, extracted, larger, figure] [rate, corresponding, problem, stochastic, method] [imaginary, movement, bci, motor, time, phase, presented, button, smr, adaptive, hand, left, moving, resting, signal, rapidly, frequency, idle, imagined, simulated, power, presentation, explained, equation] [task, data, performance, selection, real, select, user, fast, table, large, small, linear]
Kernel Latent SVM for Visual Recognition
Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori
Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori
[hold, set, example, consider, note, algorithm, class, assume, interesting, choose, testing, margin] [max, function, standard, optimal, conference, decision, based, science] [latent, variable, model, form, will, discrete, inference, interaction, university] [object, training, lsvm, computer, feature, klsvm, image, bounding, location, vision, bof, subcategory, riding, pattern, svms, learn, hog, ieee, extracted, corresponds, complex, recognition, box, category, hik, simple, three, capture, compare] [positive, dual, problem, support, arg, method, corresponding, optimization, solve, solving, composite] [visual, nonlinear, negative, framework] [kernel, linear, learning, svm, vector, machine, table, dataset, large]
Transelliptical Graphical Models
Han Liu, Fang Han, Cun-Hui Zhang
Han Liu, Fang Han, Cun-Hui Zhang
[set, lemma, statistical, result, theorem, called, denote, partial, consider, prove, main, probability] [approach, continuous] [latent, distribution, conditional, model, gaussian, parameter, concentration, variable, marginal, component, likelihood, modeling, undirected, american] [figure] [transelliptical, graphical, graph, matrix, correlation, generalized, elliptical, nonparanormal, family, pearson, kendall, journal, tau, spearman, npn, fpr, tpr, random, estimation, estimator, procedure, clime, high, dimensional, ecd, estimate, uncorrelatedness, sparse, covariance, corresponding, edge, estimated, multivariate, recovery, propose, semiparametric, extends, denoted, relationship, independent, han, convergence, inverse, penalized, theoretical, sin, monotone] [tuning, interpretation] [data, scheme, vector, selection, regularization, statistic, proposed, learning, machine, linear]
Context-Sensitive Decision Forests for Object Detection
Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof
Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof
[set, loss, denote, probability, class, introduce, consists, respect, version, note, label, case, parametrized] [decision, function, standard, queue, based, evaluation, context] [tree, split, node, sample, distribution, posterior, allows, marginal, number, joint, associated] [training, object, image, hough, forest, priority, contextual, detection, internal, second, recall, work, figure, precision, baseline, leaf, campus, single, pixel, pedestrian, segmentation, growing, feature, scene, foreground, center, multiple, tud, semantic, trained, truth, ground, exploit, bounding] [random, novel, intermediate, procedure, problem, density, truncated, application, strong] [prediction, crossing, displacement, position, determined, left] [regression, data, space, learning, proposed, test, criterion, row, vector]
Learning Invariant Representations of Molecules for Atomization Energy Prediction
Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, Anatole von Lilienfeld, Klaus-Robert Mueller
Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, Anatole von Lilienfeld, Klaus-Robert Mueller
[energy, set, stochastically, algorithm, order, statistical] [approach] [compound, gaussian, model, associated, number, distribution, sample, prior] [representation, training, figure, work, layer, raw, invariant, invariance, compared, sum, trained, depicted, directly, cross, global] [matrix, stochastic, problem, journal, support, solving, high, size, step] [neural, network, input, prediction, equation, potential, output, amount, argonne, natural, electronic, noise] [coulomb, kernel, learning, chemical, molecule, molecular, regression, data, sorted, eigenspectrum, multilayer, machine, ridge, atomization, dataset, permutation, error, space, vector, quantum, linear, rupp, chemistry, predicting, accurate, validation, dimensionality, small, better, cartesian, well]
Proximal Newton-type methods for convex optimization
Jason Lee, Yuekai Sun, Michael Saunders
Jason Lee, Yuekai Sun, Michael Saunders
[set, minimize, differentiable, lemma, logistic, length, algorithm, assume, prove, generic] [search, function, optimal, converges, continuous, choice, cost] [model, form, computational, structure, parameter] [handle, figure, training] [proximal, convex, method, step, gradient, convergence, descent, sparsa, subproblem, composite, nonsmooth, hessian, min, objective, arg, optimization, suppose, solve, satisfy, positive, achieve, quadratic, condition, solution, proxh, constant, newton, fista, lipschitz, solving, matrix, generalized, tfocs, sparse, smooth, graphical, inverse, subproblems, siam, require, iteration, expense, fukushima, superlinear, forcing, spectral, family, tseng, minimizer] [direction, implementation, decrease, signal, interpreted] [approximation, selection, machine, regression, learning, projected, opt, mapping, performance, dataset, select, regularization, special]
GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw Szymanski
Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw Szymanski
[ranking, gender, relevance, list, algorithm, citation, query, pagerank, complexity, coverage, set, gcd, subset, example, paper, ranked, diversify, proof, term, diminishing, professional, property, denote, including, wrt, measure, lemma, notice, budget] [function, based, team, search, max, key] [social, parameter, number, actor, will] [score, higher, entire, top] [optimization, problem, objective, matrix, propose, formulation, density, graph, method, random, arg, greedy, rank, symmetric] [equation, relevant, network] [diversity, similarity, vector, proposed, data, learning, goodness, regularization, better, space, improving, metric, well, real, existing, large, performs, performance, hardness]
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
Qirong Ho, Junming Yin, Eric Xing
Qirong Ho, Junming Yin, Eric Xing
[vertex, runtime, set, probability, algorithm, note, smaller, pick] [international, cost, conference, faster, total, based, focus, science] [mmtm, community, triangular, mmsb, model, inference, latent, degree, number, maximum, eijk, membership, subsampling, triangle, gibbs, generated, social, modeling, will, subsampled, link, generative, motif, sampler, full, distribution, topic, generate, dirichlet, sampling, undirected] [figure, representation, detection, experiment, larger, compared, three] [edge, adjacency, high, matrix, size, dominant, require, analysis, stochastic] [network, position, represent, time] [synthetic, data, large, better, performance, well, clustering, small, linear, biased, preserve, subsample, table, demonstrate]
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Andre Barreto, Doina Precup, Joelle Pineau
[algorithm, set, version, paper, property, fact, complexity, order, note, result, closest, arbitrary, case] [kbsf, ikbsf, reinforcement, state, mdp, function, max, continuous, based, control, decision, dka, sta, kbrl, approximate, optimal, policy, conference, sampled, hti, cti, good, transition, eqn, maxa, triple, grows, action, pole, start] [sample, number, model, process, update, will, markov, associated, university] [figure, level, ieee, experiment] [batch, theoretical, incremental, stochastic, problem, matrix, independent, practical, solve, solving] [memory, amount, computed, desired] [representative, learning, data, performance, space, task, large, small, kernel, approximation, factorization, distance, machine, challenging]
Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos, weichang Li, Niranjan Subrahmanya, Istvan Morocz, William Wells
Firdaus Janoos, weichang Li, Niranjan Subrahmanya, Istvan Morocz, William Wells
[probability, respect, polytope, set, case, upper, lower, property] [state, max, function, cost, varied] [number, model, distribution, ordering, cluster, ability] [spatial, voxels, subject, transformation, temporal, identify] [graph, matrix, problem, random, analysis, corresponding, pca, method, relaxation, size, dual, general, spectral, theoretical, min, dimensional] [brain, transportation, network, mental, activity, time, visual, left, noise, activation, difference, orientation, connectivity, basis, computed, spherical, rnv, motor, differ, intrinsic, neural] [distance, error, approximation, linear, functional, metric, wedge, data, fmri, clustering, laplacian, euclidean, relative, space, embedding, similarity, quality, neuroimaging, task]
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
Tyagi Hemant, Volkan Cevher
[complexity, active, algorithm, bound, main, order, result, consider, set, theorem, assume, uniformly, uniform, annals, probability, partial, provide, choose, corollary, minimum, discussion, explicit, statistical, note] [function, based, approach, standard] [sample, sampling, model, gaussian, form, number, parameter] [impact, second, figure, curvature, leverage] [recovery, matrix, proposition, random, singular, xds, sparse, brd, scaling, achieve, problem, constant, analysis, step, general, technical, establish, high, needed, selector, require, dantzig, convex, stable, lipschitz, tractability, assumption, estimation] [noise, additive, basis, unit] [learning, approximation, scheme, linear, dimension, regression, point, kernel, data, performance]
Learning Multiple Tasks using Shared Hypotheses
Koby Crammer, Yishay Mansour
Koby Crammer, Yishay Mansour
[set, hypothesis, algorithm, bound, class, generalization, upper, labeling, hard, consider, theory, drawn, gap, lower, assume, corollary, derive, main, smaller, best, example] [domain, average, function, evaluated, goal, total, optimal] [number, log, model, generated, process, sample] [training, three, learn, single, second, work, build, multiple, performed, figure, remaining, compared, larger, product] [size, panel, journal, problem] [effective, association, amount, adaptation, prediction, predict] [error, shared, individual, learning, shamo, data, test, task, dimension, small, sentiment, avearge, performs, large, dataset, synthetic, machine, datasets, pool, summarized, mapping, performance, table]
A Simple and Practical Algorithm for Differentially Private Data Release
Moritz Hardt, Katrina Ligett, Frank McSherry
Moritz Hardt, Katrina Ligett, Frank McSherry
[query, algorithm, set, bound, lower, statistical, true, consider, result, best, respect, theorem, complexity, measure, substantial] [average, approach, function, domain, approximate, answer, optimizing] [distribution, exponential, laplace, number, prior, update, marginals, maximum, parameter] [work, accuracy, figure, svd, simple, improve, evaluate, cuboid, achieved, multiple] [corresponding, entropy, theoretical, matrix, size] [mechanism, multiplicative, range, implementation, time, rule, represents, represent, computation] [data, mwem, privacy, private, differential, error, linear, differentially, datasets, contingency, release, dataset, synthetic, relative, table, approximation, barak, epsilon, cynthia, counting, quality, performance, binary, learning, hardt, select, improving, fienberg, hardness, well, approximating, large, gerome, frank, interactive]
Density Propagation and Improved Bounds on the Partition Function
Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman
Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman
[bound, energy, algorithm, upper, ensity, ropagation, lower, minimum, consider, statistical, set, notice, theorem, convexity, spanning, provide, inequality, probability, result, instance, worst, holder, generalization, runtime, case] [function, based, belief, total, computes, updated, approximate, initial, tighter, intractable] [number, partition, tree, message, maximum, propagation, exponential, factor, model, variable, log, will, tractable, compute, ising, distribution, computing, node, update, parameter, emax] [matching, sum, figure, structured, global, convolution, corresponds] [density, graphical, corresponding, graph, min, decomposition, random, family, passing, condition, recover, generalized, convex, problem, size, converge, geometric] [computed, equation] []
How They Vote: Issue-Adjusted Models of Legislative Behavior
Sean Gerrish, David Blei
Sean Gerrish, David Blei
[call, theory, provide, measure, probability] [international, conference, describe, science, expected] [model, variational, posterior, topic, latent, inference, david, will, heldout, bayesian, university, american, develop, lda, distribution, exploratory] [figure, improvement, work, training] [journal, young, gradient, family, illustrate] [ideal, issue, bill, legislative, political, house, voting, lawmaker, behavior, congressional, vote, position, traditional, roll, classic, congress, blei, paul, james, voted, predict, natural, popularity, vud, party, senate, iud, ethnic, response, gerrish, finance, racial, health] [point, data, labeled, text, better, item, permutation, individual, predicting]
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
Xiaolong Wang, Liang Lin
Xiaolong Wang, Liang Lin
[set, consider, algorithm] [average, optimal, max, context, parsing, calculate] [model, structure, latent, associated, generated, number, parameter, hierarchical, tree, maximum] [object, feature, detection, contour, shape, structural, detected, local, cccp, discriminative, training, three, trained, created, global, activated, hyperplane, aog, map, aot, layout, human, matching, removed, work, figure, deformation, experiment, representing, applying, layer, grouped, image] [graph, edge, positive, method, optimization, corresponding] [response, negative, dynamical, complete, represent, activation, represents, localized] [vector, learning, collaborative, proposed, select, selected, task, well, clustering]
Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park, Jonathan Pillow
Mijung Park, Jonathan Pillow
[active, algorithm, true, statistical, fact, probability] [optimal, function, describe, uncertainty, expected, average, sequential, utility, choice, current, maximizes] [posterior, prior, gaussian, model, bayesian, will, marginal, conditionally, hyperparameters, likelihood, distribution, particle, hyperparameter, hierarchical, poisson, number, updating, inference, conditional, sampling, monte, markov, carlo, employ, parameter, mcmc] [simple, figure, three] [method, covariance, entropy, estimate, step, matrix] [neural, stimulus, simulated, time, receptive, ald, response, localized, difference, neurophysiology, spike, framework, recorded, noise, direction, developed, fig, experimental] [learning, data, angular, performance, real, locality, linear, select, variance, selecting, large, space]
Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
[statistical, order, asymptotic, probability, sequence, algorithm, lemma, respect, uniform, note, set, partial, consider, mixing, proof, introduce, lower, bound, term] [policy, wlps, function, reward, expected, based, state, converges, parametric, reinforcement, search, emps, optimal, control, transition, current, supporting, approach, strategy, initial, mdp] [model, likelihood, parameter, distribution, sample, maximum, inference, process, posterior, marginal, generated, prior, number, markov, gaussian, university] [evaluate] [weighted, estimating, estimator, problem, estimation, theoretical, assumption, solution, semiparametric, journal, suppose, desirable, stochastic, method, derivative, objective, random, analysis, denotes] [equation, maximization, increase, direct, difference, developed] [selection, learning, criterion, variance, proposed, machine, candidate, reduction]
Coupling Nonparametric Mixtures via Latent Dirichlet Processes
Dahua Lin, John Fisher
Dahua Lin, John Fisher
[set, probability, statistical, design, subset, denote, choose, derive, setting, provide, introduce, label] [control, approach] [latent, model, atom, mixture, dirichlet, qts, number, associated, prior, xti, generate, sampling, distribution, zti, sample, draw, component, construction, allows, vary, parameter, nonparametric, dependent, modeling, hdp, update, topic, perplexity, process, david, inheritance, rtk, document, inherit, hierarchical, mtk, chinese, base, sharing, inherited, sngp, likelihood, proportional, probabilistic] [local, training, multiple, figure, scene, image, ctml, published, global] [formulation, method, stochastic, analysis, denotes, jointly] [group, coupled, coupling, framework, visual] [data, proposed, combination, shared]
Entangled Monte Carlo
Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté
Seong-Hwan Jun, Liangliang Wang, Alexandre Bouchard-Côté
[algorithm, set, partial, communication, example, denote, note, allocation, list, probability, access, sequence, uniform, version] [state, simulation, cost, total, based, sequential, function] [particle, smc, number, monte, will, carlo, phylogenetic, proposal, bayesian, transmission, inference, emc, parallelization, genealogy, mcmc, distribution, tree, described, posterior, update, proposing, parent, supplementary, computational, compute, computing, discrete] [figure, target, forest, view, compared] [stochastic, reconstruction, random, method, step, rank, problem, size, distributed, concrete, speedup, needed, graphical, independent] [time, generation, transfer, requires] [machine, resampling, large, space, parallel, kernel, compact, data, dataset, synthetic, well]
Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park
Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park
[true, set, pairwise, algorithm, version, consider, simultaneously, respect] [based, function] [latent, model, factor, gaussian, structure, log, interaction, topic, hidden, parameter, exponential, will, prior, number, negatively, update, generated, variable] [precision, learned, learn, figure, structured, randomly, image, body, compare, representation, complex, experiment] [slfa, matrix, sparse, graphical, problem, method, graph, random, subproblem, relationship, min, convex, general, pca, solve, solution, gene, positive, covariance, positively, rate, corresponding, analysis, sparsity, family] [basis, natural, coding, neural, processing, biological] [data, learning, regularization, linear, vector, combination, synthetic, large, error, special, svm, collaborative, small]
"Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders"
Sanjeev Arora, Rong Ge, Ankur Moitra, Sushant Sachdeva
Sanjeev Arora, Rong Ge, Ankur Moitra, Sushant Sachdeva
[algorithm, lemma, theorem, order, polynomial, case, empirical, chosen, exactly, set, true, statistical, exponentially, probability, note, prove] [function, unknown, search, goal, cumulant, standard, approach, intuition, expectation] [gaussian, will, variable, number, mixture, form, component, maximum, moment, compute, computing, recovers, described] [local, deep, ica, rotation, transformation, denoising] [matrix, step, random, hessian, close, analysis, fourth, independent, running, problem, covariance, diagonal, recover, procedure, provable, rigorous, claim, ada, subspace, dmin, suppose, method, gradient, general, norm, exact, condition, involves, high] [time, additive, noise, signal] [learning, projection, locally, orthogonal, vector, approximation, linear, error, data, space, ocal]
Probabilistic Low-Rank Subspace Clustering
S. DERIN BABACAN, Shinichi Nakajima, Minh Do
S. DERIN BABACAN, Shinichi Nakajima, Minh Do
[algorithm, probability, extended, set, energy] [based, optimal, approach, deterministic] [bayesian, model, variational, latent, component, number, probabilistic, distribution, inference, develop, normal, mixture, modeling, cluster, gaussian] [global, segmentation, ieee, applied, automatically, representation, handle, automatic, include, figure, accuracy, clean] [subspace, method, matrix, singular, solution, sparse, dictionary, estimation, formulation, vblr, independent, alternating, lrr, outlier, problem, robust, diagonal, analysis, avoid, presence, bbt, estimated, spectral, normalized, thresholding, mppca, iterative, dab] [principal, motion, noise, effective, corrupted, ith] [data, clustering, large, factorization, dimensionality, proposed, machine, small, performance, linear, database, table]
Near-Optimal MAP Inference for Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
[algorithm, submodular, set, extension, polytope, probability, rounding, including, maximizing, volume, case, corollary, guarantee, term, measure, result, empirical] [function, continuous, approach, approximate, standard] [log, pair, will, inference, softmax, model, document, maximum, allows, number, probabilistic, integral] [map, local, figure, apply, second, work, feature, matching] [greedy, optimization, general, objective, random, matrix, problem, arg, method, unconstrained, variety, involves, positive, propose, gradient, versus, constrained, fractional] [time, maximization, practice, simulated] [dpp, approximation, point, multilinear, determinantal, proposed, dpps, ratio, quote, candidate, diverse, linear, solvable, performance, opt, approximating, kulesza]
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-Xin Wei, Alan Stocker
Xue-Xin Wei, Alan Stocker
[consider, lower] [function, based, cumulative, oblique, primary, expected, belief, average, assumed, approximate] [prior, likelihood, bayesian, model, distribution, inference, repulsive, link, will, typically, posterior] [internal, local, shape, larger, figure, representation, human, match, level, side] [symmetric, estimation, inverse, estimator, estimate, constrained, density, support] [tuning, stimulus, neural, orientation, population, noise, perceptual, visual, bias, perception, external, encoding, cardinal, framework, homogeneous, coding, asymmetry, absolute, sensory, measured, width, reported, response, tuned, perceived, predicted, preferred, peak, determined, cortex, lead, physical, direct, decoding, attraction, nature, heavier, area] [space, data, relative, mapping, well, biased]
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
Michael Hughes, Emily Fox, Erik Sudderth
Michael Hughes, Emily Fox, Erik Sudderth
[set, sequence, true, probability, active, best] [state, choice, sequential, move, create, showing] [prior, split, markov, merge, sampler, process, emission, joint, model, nonparametric, mcmc, proposal, assigned, log, inference, reversible, hidden, conjugate, mixture, bayesian, birth, sampling, monte, fox, sample, gaussian, dirichlet, beta, chain, jump, carlo, acceptance, kitchen, hmm, develop, initialization, posterior] [feature, capture, single, video, apply, previous, work, figure, cpu, global] [unique, random, method] [time, motion, activity, computation, behavior] [data, item, large, dataset, small, shared, binary, anchor, proposed, row]
Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu, Koji Eguchi, Eric Xing
Kosuke Fukumasu, Koji Eguchi, Eric Xing
[set, best, extension, probability] [conference, international, based, assumed, control] [language, pivot, topic, multilingual, model, symcorrlda, japanese, document, sample, english, word, corrlda, comparable, bilingual, switchlda, lda, number, latent, indicates, article, distribution, correspondence, generative, assigned, trilingual, david, dirichlet, counterpart, multinomial, prior, process, spanish, wikipedia, gibbs, collapsed, generates, generated, appropriately, modeling, alternative] [figure, multiple, applied, training, annotated, representation, randomly, capture, level, work, translation, computer] [estimated, symmetric, graphical, corresponding, rank, iteration] [visual, connected] [data, selected, table, parallel, test, task, text, demonstrate, machine, quality]
Fast Resampling Weighted v-Statistics
Chunxiao Zhou, jiseong Park, Yun Fu
Chunxiao Zhou, jiseong Park, Yun Fu
[set, order, algorithm, equivalent, complexity, list, note, equivalence, subset, considered] [function, action, cost, calculate, international, summing, conference] [computational, computing, number, partition, merging, moment, generate, generated, sample, distribution] [sum, figure, second, product, level, accuracy] [weighted, graph, proposition, denotes, method, exact, random, problem, size, relaxed, cardinality, computationally, symmetric, corresponding, naive, denoted, novel] [group, summation, developed, neural] [orbit, resampling, permutation, transversal, data, sdr, calculation, symmetry, cayley, learning, bootstrap, distinct, construct, test, listing, space, equal, statistic, constraint, calculating, includes, existing, table, machine, acting, monoid, improved, representative, bootstrapping]
Learning Image Descriptors with the Boosting-Trick
Tomasz Trzcinski, Mario Christoudias, Vincent Lepetit, Pascal Fua
Tomasz Trzcinski, Mario Christoudias, Vincent Lepetit, Pascal Fua
[respect, measure, consider, comparison, learner] [approach, function, based] [number, intensity, computational] [feature, descriptor, boosted, image, weak, sift, ssc, learned, local, bgm, weighting, matching, learn, invariant, apply, figure, notre, dame, applied, discriminative, work, training, patch, pami, outperform, surf, resembles, compare, perform, representation, pixel] [rate, gradient, method, positive, matrix, optimization, closely, correlation] [input, response, optimized, equation, computed, orientation, visual, effective] [learning, similarity, error, boosting, kernel, linear, mapping, performance, original, compact, embedding, metric, binary, large, well, datasets, selection, dimensionality, embeddings, flbgm, selected, factorization, space, performs]
Multi-task Vector Field Learning
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He
[set, denote, mtl, share, element, assume, generalization] [function, optimal, expected, conference] [structure, number, form, distribution, field] [unlabeled, ground, truth, multiple] [matrix, singular, gradient, dimensional, optimization, convex, block, min, arg, low, method, diagonal, subspace, derivative, propose, objective, journal, formulation, graph, alternating, close, problem, corresponding] [framework, roll, wij, neural, processing, natural, nonlinear, effectiveness] [vector, learning, data, manifold, task, parallel, tangent, labeled, shared, proposed, predictor, regularization, mtvfl, performance, differential, txl, nearest, space, linear, vxl, dimension, synthetic, swiss, kaso, landmine, aso, construct, kernel, point, auc, real, pil, machine, rewrite]
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Charles Sutton, Amos Storkey, Zoubin Ghahramani
Yichuan Zhang, Charles Sutton, Amos Storkey, Zoubin Ghahramani
[set, probability, consider, pairwise] [continuous, standard, approximate, andrew] [discrete, gibbs, gaussian, inference, model, integral, hamiltonian, marginal, monte, trick, distribution, sampling, hmc, markov, carlo, mcmc, log, exp, sampler, generate, normalization, form, variable, chain, number, undirected, node, highly, sample, dhmc, normalizing, frustrated, conditional, ising, harmonium, university, charles, joint] [scale, boltzmann, work, evaluate, figure, accuracy, representation, directly, computer] [block, method, general, estimate, random, estimator, graphical, density, matrix, problem, independent, constant, diagonal, estimation] [neural, processing, auxiliary] [binary, synthetic, large, machine, vector, real, error, row, valued, performance]
Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Andrew Ng, Shenghuo Zhu, Kai Yu
Will Zou, Andrew Ng, Shenghuo Zhu, Kai Yu
[algorithm, result, set, term] [optimal, approach] [parameter, component, number] [layer, temporal, slowness, video, learned, figure, feature, invariance, second, image, training, recognition, unsupervised, trained, pooling, learn, invariant, object, local, tracked, deep, apply, architecture, vision, tracking, accuracy, visualization, patch, computer, spatial, weighting, rotation, translation, extracted, module, complex, compared, caltech, larger, convolutional, work, performed, pubfig, despite, learns] [analysis, sparse, method, normalized, smooth, reconstruction, pursuit, sparsity, high, size, slow] [natural, visual, network, neural, equation, input, van, encode, increase, coding] [learning, performance, data, linear, test, row, large, table]
Learning visual motion in recurrent neural networks
Marius Pachitariu, Maneesh Sahani
Marius Pachitariu, Maneesh Sahani
[sequence, set, online, note, deviation, algorithm, term] [average, based, expected] [model, inference, gaussian, number, generative, log, likelihood, hidden] [produce, learned, aligned, learn, root, pattern, complex, simple, image, disc, figure, feature, map] [sparse, plot, method, positive, greedy, journal, high, propose] [direction, visual, motion, preferred, selectivity, neural, neuron, recurrent, speed, network, coding, tuning, drifting, receptive, cortex, basis, time, natural, connected, orientation, cortical, dynamic, represent, activation, excitatory, negative, connectivity, polar, long, partly, presented, stimulus, nonlinear, response, represents] [learning, vector, small, constraint, data, fast, large, respective]
Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs, Rich Zemel
Maksims Volkovs, Rich Zemel
[energy, probability, bipartite, set, reference, partial, algorithm, order, note, example, change, ranking, property, subset] [sequential, approach, based, function, state, approximate, goal, choice, good] [sampler, distribution, assignment, sampling, bmp, model, proposal, chain, gibbs, valid, wbmp, sample, generate, typically, will, inference, number, hellinger, allows, permanent, generated, structure] [matching, match, target, applied, matched, higher, image, figure, map, produce, recursive, feature, produced, retrieval, local, computer, single] [rank, method, problem, procedure, general, exact, matrix, graph, theoretical, propose] [time, equation] [permutation, learning, item, performance, proposed, partitioning, large, selected, well, approximation, mapping]
Bayesian Pedigree Analysis using Measure Factorization
Bonnie Kirkpatrick, Alexandre Bouchard-Côté
Bonnie Kirkpatrick, Alexandre Bouchard-Côté
[set, measure, denote, example, probability, case, algorithm, cover] [based, standard, state, approach, function, sampled] [disease, pedigree, site, model, inference, recombination, haplotype, transducer, linkage, genetic, number, distribution, factor, allele, genome, founder, inheritance, hpt, genotype, merlin, recessive, collection, likelihood, variational, will, supplement, tractable, valid, node, parameter, penetrance, gibbs, observed, exponential] [figure, forest, work, larger, product, accuracy, view] [method, graphical, analysis, graph, random, journal, weighted, problem, panel, corresponding, independent, denotes, size] [simulated, input, framework, connected, computed, equation] [data, lod, individual, factorization, missing, well, vector, approximation, ratio]
Fast Variational Inference in the Conjugate Exponential Family
James Hensman, Magnus Rattray, Neil Lawrence
James Hensman, Magnus Rattray, Neil Lawrence
[bound, algorithm, set, order, derive, lower, mixing] [standard, ascent, approach, approximate, based, provided, appears, empirically, expectation] [variational, conjugate, klc, collapsed, vbem, model, inference, latent, update, lkl, expression, distribution, whilst, mixture, exponential, king, corrected, lawrence, lmf, form, sung, unifying, dirichlet, derivation, number, supplementary, topic, sato, gaussians, probabilistic, marginalised, variable, teh, honkela, process, optimised, gaussian, analytically, bayesian] [curvature, applied, larger, work, simple] [gradient, method, step, steepest, optimisation, convergence, general, optimization, procedure, family] [natural, difference, negative, equation] [riemannian, approximation, data, select, machine, table, improved, proposed, fast, equal]
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
[loss, algorithm, set, oracle, denote, proof, class, hypothesis, appendix] [max, function, optimal, approach, school, search] [latent, number, will, form, allows] [local, figure, training, weak, compared, applied, view] [norm, matrix, objective, optimization, convex, problem, sparse, min, solution, regularized, running, dhm, method, step, multiview, rank, constrained, gauge, proposition, convergence, journal, siam, vinit, rate, reconstruction, gradient, low, constant, procedure, dual, corrective, solved, positive, greedy, totally, solve, argmin, mmbs, dictionary, penalized, recovery] [time, framework, auxiliary] [test, boosting, trace, learning, error, optimize, approximation, data, nmae, regularization, scheme, performance, locally, task, regularizer, large, ensemble, factorization]
Classification Calibration Dimension for General Multiclass Losses
Harish Guruprasad, Shivani Agarwal
Harish Guruprasad, Shivani Agarwal
[loss, surrogate, respect, calibrated, multiclass, calibration, consistency, set, theorem, lemma, example, bound, ranking, consider, probability, inf, lower, upper, subset, class, pairwise, label, operating, erd, qord, notion, consistent, feasible, nullity, note, instance, result, trigger, lham, provide, statistical, derive, exists, interest, property, ham, setting, simplex, pred, question, analyze, wsy, design, studied] [function, conference, international, optimal, incurred, calculate, designing, understanding] [will, pair, number, develop, associated] [figure, target, learn, training, simple] [convex, general, matrix, denotes, positive, condition, subspace] [analyzing, prediction, study] [dimension, learning, space, regression, machine, ordinal, binary, vector]
Learning the Architecture of Sum-Product Networks Using Clustering on Variables
Aaron Dennis, Dan Ventura
Aaron Dennis, Dan Ventura
[algorithm, set, call, introduced, rooted, note, suitable, example, subset, probability, order, best] [initial] [node, cluster, latent, variable, partition, model, will, associated, number, probabilistic, modeling, described] [architecture, spn, region, sum, poon, figure, product, training, leaf, deep, llh, image, pgm, spns, olivetti, scope, child, explaining, root, train, rectangular, expandregiongraph, pixel, half, created, interact, top, local, three] [graph, mse, completion, strong, subgraph, corresponding] [network, explain, input, reported, exhibit] [learning, data, test, dataset, table, task, datasets, row, better]
Projection Retrieval for Classification
Madalina Fiterau, Artur Dubrawski
Madalina Fiterau, Artur Dubrawski
[set, query, algorithm, class, lower, spam, length, label, consider, order] [decision, function, michael, control, correct, approach] [will, model, number, parameter, joint, process, nonparametric] [accuracy, feature, human, designed, training, retrieval, recall, local, precision, compared, simple] [entropy, problem, method, subspace, min, lasso, recovered, objective, matrix, penalty, optimization, estimator, high] [system, voting, relevant, noise, represents, represent] [data, projection, recip, selection, informative, point, table, variance, learning, synthetic, dataset, space, classification, performance, error, user, original, dimensionality, selected, zij, capital, well, datasets, row, small, select, distinct, validity, regularization, machine]
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Christoph Sawade, Niels Landwehr, Tobias Scheffer
[active, labeling, comparison, risk, passive, true, hypothesis, asymptotically, empirical, iwal, instrumental, drawn, setting, implies, derive, significance, online, denote, asymptotic, proof, reject, statistical, lemma, case, lower, theorem, loss, assume, consistent] [null, standard, optimal, average, maximizes, conference, goal, based, effort] [distribution, model, sampling, predictive, comparing, abalone, sample, process, likelihood, normal, observed, will, compute] [figure, accuracy, baseline, compare, training, multiple, object, sum] [problem, method, positive, inverse, rate, estimate] [equation, difference, power, prediction, study, frequency] [test, selection, data, statistic, variance, regression, pool, approximation, machine, space, learning, large]
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, Ryan Adams
Jasper Snoek, Hugo Larochelle, Ryan Adams
[algorithm, set, online, best, choose, logistic, denote] [function, expected, acquisition, grid, search, standard, optimizing, cost, hoffman, pending, approach, integrated, expert, expensive, based, parallelized, good, choice, current] [mcmc, bayesian, gaussian, hyperparameters, process, model, number, will, latent, distribution, posterior, monte, carlo, prior, parameter, lda, compute, variable, hidden, dirichlet, form] [second, improvement, figure, three, global, structured, multiple, compare, computer, human, scale, svms, convolutional] [optimization, covariance, min, random, procedure, journal] [neural, time, treatment, processing, repeated, tuning] [learning, machine, point, error, data, better, performance, opt, code, test, validation]
Delay Compensation with Dynamical Synapses
Chi Chung Alan Fung, K. Y. Michael Wong, Si Wu
Chi Chung Alan Fung, K. Y. Michael Wong, Si Wu
[order, consider, corollary, critical, case, property] [head, state, continuous, function, vmax, future] [exp, parameter, model, maximum, expression] [tracking, figure] [constant, strong, corresponding, independent, perturbation, leading] [network, stimulus, neural, time, natural, moving, speed, delay, std, system, displacement, effectively, position, anticipatory, anticipative, perfect, velocity, rescaled, ext, bump, mechanism, intrinsic, range, anticipation, response, synaptic, static, compensation, direction, dynamical, phase, boundary, external, prediction, study, attractor, visual, curve, strength, nature, spontaneously, cann, rodent, processing, metastatic, magnitude, compensate, motor, motion, cortex, experimental, basis, saccadic, input] [point, space, performance, small]
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk
Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
[algorithm, walk, square, pairwise, approximated, divergence, minimizing, set, result, best, term] [function, calculate, based, return, initial, starting] [cluster, scalable, initialization, update] [local, compared, ieee, indicator, figure, accuracy, yang, work, curved, pattern, simple, protein, previous] [matrix, method, graph, random, spectral, optimization, normalized, diagonal, objective, sparse, smoothed, analysis, relaxation, propose, problem, penalty, symmetric, procedure] [smoothing, input, multiplicative, neural] [clustering, data, nmf, nonnegative, wik, similarity, factorization, nmfr, orthogonality, learning, large, approximation, lse, better, performance, error, proposed, approximating, datasets, euclidean, manifold, constraint, technique, small, purity, regularization, bij, kernel, well, machine]
MAP Inference in Chains using Column Generation
David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
[algorithm, oracle, set, setting, loss, smaller, provide] [cost, viterbi, faster, search, domain, tagging, approximate, transition, strategy, pruning, optimal, based, conference, current, international, unrestricted, programming, max] [inference, variable, model, joint, computational, employ, message, tree, described, compute, chain] [restricted, map, local, work, score, improve, previous, figure, structured, training, cutting] [reduced, dual, exact, edge, positive, beam, solving, primal, size, graphical, problem, method, condition, solution, journal, duality] [generation, equation, dynamic, speed, maximization] [column, machine, fast, linear, table, learning, technique, test]
Shifting Weights: Adapting Object Detectors from Image to Video
Kevin Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller
Kevin Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller
[set, algorithm, consider, loss, introduce] [domain, approach, adapt, average, car, total] [model, number, event, typically] [target, video, object, detector, source, figure, image, top, unlabeled, bounding, discover, box, detection, adapting, iteratively, training, score, trecvid, appear, learn, discovered, baseline, include, work, temporal, frame, gopalan, spatial, trained, help, initialbl, feature, scoring, annotated, track, unsupervised, complex, previous, annealed, klt, sandwich, internet] [method, iteration, step, positive, robust, objective] [adaptation, visual] [learning, data, large, labeled, select, common, dataset, better, binary, labelme, med]
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han, Daniela Witten, Su-In Lee, Maryam Fazel
Karthik Mohan, Mike Chung, Seungyeop Han, Daniela Witten, Su-In Lee, Maryam Fazel
[algorithm, set, perturbed, example, order, note, case, maximize, statistical, fact] [approach, simply, based] [node, will, number, gaussian, model, structure, joint, expression, generated] [figure, overlap, structured, applied, multiple, detected, detect] [graphical, pnjgl, lasso, gene, fgl, cancer, problem, penalty, norm, method, optimization, matrix, admm, estimate, perturbation, formulation, estimation, corresponding, rcon, regulatory, journal, covariance, sparse, convex, alternating, union, solve, estimated, estimating, support, sparsity, subtypes, convergence, inverse, jointly, ggm, positive, adjacency, solving] [network, group, differ, brain, tuning] [learning, data, well, selection, synthetic, selected, proposed, column, row, distinct]
A Polylog Pivot Steps Simplex Algorithm for Classification
Elad Hazan, Zohar Karnin
Elad Hazan, Zohar Karnin
[algorithm, margin, simplex, feasible, lemma, vertex, shadow, theorem, polytope, polynomial, bound, case, bounded, prove, proof, probability, instance, lpnoise, complexity, paper, note, loss, consider, order, statement, set, exists, shifting, denote, polylogarithmic, property, spielman, worst] [optimal, programming, plane, easier, shift] [number, pivot, will, log, parameter, form, gaussian] [bounding, hyperplane, adding] [solution, norm, step, analysis, problem, smoothed, program, random, dimensional, running, interior, constant, method, corresponding, independent, solve, reduced, matrix, low, soft, practical, solves] [time, direction, noise, viewed, basic, additive, rule] [linear, point, dimension, vector, large, small, projection, data, separable, original, machine, constraint, svm, space, performs]
Factoring nonnegative matrices with linear programs
Ben Recht, Christopher Re, Joel Tropp, Victor Bittorf
Ben Recht, Christopher Re, Joel Tropp, Victor Bittorf
[algorithm, set, note, admits, prove, choose, main, class, result, algorithmic, consists] [approach, programming, cost] [number, compute, model, factor, modeling, described, computing] [work, figure, remaining, scale] [matrix, theoretical, convex, incremental, gradient, dual, solve, problem, solution, method, lagrangian, analysis, formulation, matlab, exact, diagonal, speedup, achieves, arg, subspace, suppose, decomposition, step, proposition] [noise, time, processing, requires, implementation] [factorization, hott, data, agkm, nonnegative, nmf, linear, separable, performance, error, ottopixx, large, simplicial, constraint, row, machine, synthetic, award, hull, cij, learning, cjj, localizing, express, vector, diag, better, rmse, distance, clueweb, cii, jumbo]
Optimal kernel choice for large-scale two-sample tests
Arthur Gretton, Bharath Sriperumbudur, Dino Sejdinovic, heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu
Arthur Gretton, Bharath Sriperumbudur, Dino Sejdinovic, heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu
[probability, asymptotic, set, hypothesis, empirical, testing, best, case, theorem, bound, write, discrepancy, borel] [choice, null, average, max, approach, grid, function, cost, maximizes, standard, strategy, heuristic] [sample, gaussian, distribution, base, alternative, gaussians, number, will, maximum, parameter] [training, level, figure, single, learn, subject, audio] [type, estimate, family, quadratic, problem, optimization, independent, arg, random, covariance, procedure, bandwidth, positive, convergence] [time, threshold, computed, amplitude, neural, processing, unit, noise] [kernel, test, linear, error, statistic, mmd, data, selection, ratio, performance, variance, opt, hilbert, criterion, space, median, reproducing, embeddings, largest, large, rkhs, better, proposed, constraint]
Accuracy at the Top
Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic
Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic
[algorithm, set, empirical, quantile, denote, aatp, loss, generalization, margin, svmp, case, hypothesis, fraction, ranking, rademacher, nfinite, consists, upper, bound, ush, consider, erf, derived, term, ionosphere, housing, probability, report, respect, surrogate, quantiles, true, bounded] [based, function, average, seeking, standard, conference] [number, sample, distribution, log, will, marginal] [top, accuracy, score, precision, training, subject, google, second, correspond, scoring] [problem, solution, optimization, convex, positive, analysis, solving, size, corresponding, method, rank, support, formulation] [preferred, relevant] [data, learning, large, machine, performance, error, labeled, selected, optimize, better]
Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar
Anteo Smerieri, François Duport, Yvon Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar
[set, arbitrary, main, easily, best, case, sequence] [state, function, duration, generator] [node, discrete, computing, allows, number, intensity, described] [figure, training, computer, second, level, layer, previous, single] [constant, rate, step, high, panel] [reservoir, time, readout, output, voltage, input, analog, network, experimental, nonlinear, neural, capacitor, equation, light, digital, noise, optoelectronic, modulator, optical, hardware, photodiode, bias, reported, signal, system, recurrent, balanced, encoded, left, modulation, circuit, electronic, measured, wireless, setup, residual, desired, amount, summation, description, weight, major, delay, ideal, calculated, implementation, physical, photonic, vbias, multiplexing] [performance, linear, better, task, ridge, combination, error, regression, proposed]
Large Scale Distributed Deep Networks
Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc Le, Mark Mao, Marc'Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Ng
Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc Le, Mark Mao, Marc'Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Ng
[set, coordinator, access, introduce] [approach, updated, function, faster, average, reach, additional] [model, parameter, number, process, computing, allows] [training, deep, downpour, sgd, sandblaster, single, accuracy, adagrad, server, distbelief, train, multiple, figure, speech, replica, work, cpu, larger, gpu, recognition, object, layer, sized, scale, imagenet, modestly, unsupervised, billion, parallelism, downpoursgd, designed, trained, local, shard, feature, acoustic, resource] [distributed, optimization, gradient, stochastic, rate, scaling, batch, nonconvex, method, high] [neural, network, time, asynchronous, framework, processing, computation, adaptive, speed, developed, implementation, synchronization] [learning, large, data, machine, performance, small, well, test]
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu
Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu
[ranking, loss, pairwise, probability, consistency, surrogate, statistical, property, setting, theorem, true, rdps, consistent, risk, ranked, inf, equivalence, class, set, called, assume, prove, proof, stronger, result, theory, exists, argue, respect, wpdl, ranksvm, implies, preorder, call, stated, main, note, adopt, empirical, contradiction, minimize, rankboost, induce] [function, conference, optimal, expected, preference, international, good, based] [will, pair, exponential, chinese] [object, higher, previous, work, considering, commonly] [assumption, weighted, rank, theoretical, graph, dual, journal, condition, suppose] [presented] [space, learning, machine, existing, large, permutation, annual, proven]
Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon
[algorithm, set, induction, induced, example, order, best] [conference, based, international, average, function, standard] [number, model, count, parameter, mixture, probabilistic, bayesian] [feature, single, training, figure, multiple, three, outperforms, local, improve, manually, improvement] [matrix, method, density, const, family, constant, optimization, analysis] [prediction, weight, experimental, stage, wide] [item, user, stagewise, combination, collaborative, alg, performance, recommendation, feat, fwls, machine, data, candidate, selected, proposed, ensemble, rmse, linear, rating, selection, relative, manual, acm, table, factorization, learning, unimodal, test, pmf, small, kernel, locality, well, includes, similarity]
A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas Dietterich
Liping Liu, Thomas Dietterich
[label, set, superset, true, instance, logistic, probability, class, ambiguity, complexity, drawn, provide, usps, choose, birdsong, vnk, clpl, lost, algorithm, partial, singing] [sim, max, standard] [model, distribution, multinomial, vary, component, parameter, number, mixture, conditional, structure, variational, likelihood, observed, cluster, degree, dirichlet, stick, breaking, will, described] [region, distractor, three, training, figure, learned, face, bag, work, bird, trained] [problem, matrix, underlying, formulation, random, assumption, optimization, analysis, suppose] [coding, controlled, input, noise, prediction] [learning, candidate, data, performance, dataset, mapping, large, machine, test, svm, better, equal, supervised, small]
Learning to Discover Social Circles in Ego Networks
Julian McAuley, Jure Leskovec
Julian McAuley, Jure Leskovec
[set, consider, considered, sense, note, best, fact] [based, goal, describe, allow, argmax] [model, social, form, number, node, latent, parameter, overlapping, education, structure, membership, community, described, degree, allows, generate, will] [feature, figure, multiple, identify, three, appear, work, learn, detected, accuracy, unsupervised] [method, problem, type, high, edge, graph, stochastic, size, college] [circle, network, facebook, twitter, encode, weight, difference, predict, personal, predicted, ego, position, false, cryptanalyst] [user, data, clustering, common, similarity, vector, well, error, performance, construct, datasets, embedding]
Scalable nonconvex inexact proximal splitting
Suvrit Sra
Suvrit Sra
[lemma, case, bound, paper, class, algorithm, lim, online, sequence, differentiable, consider, studied, main, note, theorem, bounded, assume, theory, prove, proof] [function, stationary, approximate, control] [computational, form, allows, scalable] [apply, vanishing, exploit, figure] [nonconvex, convex, objective, gradient, incremental, composite, proximal, convergence, analysis, method, inexact, iteration, sparse, nonsmooth, matrix, generalized, splitting, stochastic, optimization, descent, norm, proximity, nonvanishing, stepsizes, assumption, batch, running, sparsity, problem, application, exact, fbs, derivative, crucial, min, stepsize, iterates, condition, solves, satisfy] [framework, residual, neural, ensure, time] [point, error, learning, operator, large, nmf, linear, factorization, projection, small]
Recovery of Sparse Probability Measures via Convex Programming
Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
[probability, measure, minimum, simplex, consider, bound, set, exactly, note, theorem, arbitrary, true, setting, corollary, example, discussion, satisfying, case] [max, heuristic, function, approach, simply, cone] [mixture, log, parameter, number, recovers, gaussian, alternative, exp] [figure, noisy, compare] [convex, cardinality, min, problem, solution, sparse, recovery, relaxation, general, condition, solved, penalized, rescaling, optimization, exact, maxi, recovering, soft, unique, program, gradient, recover, kij, exponentiated, constrained, entropy, norm, solves, method, xmin, propose, matrix, penalty, sparsest, arg, penalizing, corresponding, procedure, formulation, independent, numerical] [california] [proposed, linear, clustering, scheme, data, vector, quality, error, original, point, well]
Majorization for CRFs and Latent Likelihoods
Tony Jebara, Anna Choromanska
Tony Jebara, Anna Choromanska
[bound, algorithm, set, consider, iter, assume, proof, theorem, upper] [function] [conditional, likelihood, partition, latent, model, maximum, parameter, exp, hidden, log, number, distribution, update, variable, will, variational, article, hxj, compute, supplement, markov, factor, exponential, monotonic, discrete, prior] [training, structured, figure, feature, simple, bounding, recall] [random, graphical, majorization, quadratic, fxj, optimization, srbct, clique, iterative, convex, convergence, gradient, problem, entropy, solution, singular, matrix, lbfgs, estimation, hepatitis, graph, zxj, eigenvector, estimated, involves] [time, input, output, requires, prediction, presented, maximization] [vector, table, data, well, large, learning, dimensionality, linear, test]
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction
Minjie Xu, Jun Zhu, Bo Zhang
Minjie Xu, Jun Zhu, Bo Zhang
[set, loss, algorithm, margin, note, case, consider, appendix, paper] [conference, standard, international, expectation, function] [model, bayesian, probabilistic, latent, prior, nonparametric, number, factor, process, partition, posterior, inference, maximum, gaussian, variational, infer, distribution, observed, indian, ibp] [training, perform, weak, discriminant, level, work, learn, figure] [matrix, problem, min, descent, entropy, coordinate, formulation, assumption, strong, general, constant, solving] [prediction, time, processing, neural, rule] [factorization, data, yij, learning, movielens, binary, eachmovie, machine, table, nmae, pmf, med, performance, error, collaborative, ordinal, well, svm, dimensionality, regularization, performs, rating, user, fast, original, item, linear, isotropic]
Proper losses for learning from partial labels
Jesús Cid-Sueiro
Jesús Cid-Sueiro
[proper, loss, partial, mixing, set, probability, label, class, true, ambiguity, labelled, theorem, proof, equivalent, paper, arbitrary, assume, example, note, minimum, ambiguous, order, statistical, design, mij, knowing, uji, strictly, depend, square, supergradient] [choice, function, partially, admissible, expected, characterized, international, imperfect, based] [posterior, will, sample, number, model] [scoring, noisy, representation, corresponds, work, multiple] [matrix, problem, estimate, estimation, estimating, procedure, journal, estimated, generalized, arg, independent, soft, convex, discussed, entropy, concave] [basis, linearly, left, rule, wide] [data, learning, vector, machine, construct, combination, column, generalize, deal, linear]
No-Regret Algorithms for Unconstrained Online Convex Optimization
Matt Streeter, Brendan McMahan
Matt Streeter, Brendan McMahan
[algorithm, regret, online, eward, theorem, oubling, bound, consider, sequence, comparator, set, guarantee, feasible, lower, upper, result, respect, proof, lemma, implies, term, letting, loss, bounded, regreti, elad, prove, order, exists, radius, arbitrary, increasing, appendix, provide, mooth, satyen] [reward, round, total, optimal, function, choice, wealth, based, initial] [log, exp, will, form, parameter, model, prior] [work, sum, simple, epoch, previous, applied, apply, obtains] [gradient, convex, descent, optimization, constant, rate, unconstrained, problem, exponentiated, coordinate, general, stochastic, theoretical] [prediction, increase, negative, natural] [learning, linear, point, small, large, selected, selects, machine]
Image Denoising and Inpainting with Deep Neural Networks
Junyuan Xie, Linli Xu, Enhong Chen
Junyuan Xie, Linli Xu, Enhong Chen
[comparison, set, algorithm, testing, remove, version] [approach, standard, science, based, generally] [hidden, gaussian, model, will, distribution, process, ability, structure] [image, denoising, training, inpainting, noisy, blind, deep, clean, ssda, layer, stacked, learned, trained, feature, unsupervised, ksvd, ieee, corrupting, wavelet, improve, complex, train, learn, denoise, reconstruct, vision, simple, perform, removal] [sparse, method, propose, corresponding, type, require, achieve, problem] [noise, input, neural, corrupted, network, coding, visual, activation, white, natural, technology, processing] [data, proposed, learning, performance, machine, scheme, text, original, well, better, missing, small, linear]
Transelliptical Component Analysis
Fang Han, Han Liu
Fang Han, Han Liu
[theorem, result, version, proof, paper, exists, denote, consider, set, introduced, follow] [continuous, max, generating, idea, generally] [distribution, component, sample, model, latent, marginal, log, will, variable, parameter] [second, top, global, larger, figure] [correlation, matrix, elliptical, transelliptical, pearson, tca, leading, random, kendall, multivariate, pca, tau, ecd, analysis, sparse, rate, family, high, generalized, dimensional, latpearson, journal, distributed, estimation, proposition, utilize, denoted, elliptically, covariance, independent, density, estimator, stochastic, method, sin, stock, estimate, recovering, conducted, arxiv, copula, preprint, eigenvector, norm, successful, estimating] [principal, long, represents, power, detailed] [vector, eigenvectors, data, trend, better, scheme, selection]
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran, Junsong Yuan
Du Tran, Junsong Yuan
[set, subset, path, algorithm, denote, loss, best, applicable] [action, search, function, based, approach, intractable, optimal, argmax] [inference, parameter, number, structure, will, latent, maximum] [localization, structured, detection, video, object, detect, human, lan, ground, feature, local, bounding, recall, box, improves, precision, compared, figure, tran, applied, diving, truth, map, temporal, track, subvolume, localize, larger, training, visualized, spatial, divided, kiss, directly, frame, oriented, score, ucf] [method, problem, size, solve, roc, sparse, positive] [output, area, prediction, predicted] [learning, space, constraint, proposed, dataset, regression, test, large, equal, accurate, challenging, table]
Selective Labeling via Error Bound Minimization
Quanquan Gu, Tong Zhang, Chris Ding, Jiawei Han
Quanquan Gu, Tong Zhang, Chris Ding, Jiawei Han
[bound, active, labeling, design, minimizing, label, set, upper, derive, theorem, learner, choose, term, note, order, true, bounded, version, agnostic, combinatorial, paper] [function, optimal, expected, based, deterministic, continuous] [sample, university, parameter, interaction] [compared, accuracy, trained, work, training, compare, figure, local] [method, graph, random, problem, gradient, arg, min, optimization, solution, matrix, regularized, derivative, propose, descent, running, solve] [selective, experimental, time, weight] [data, learning, error, laprls, proposed, labeled, laplacian, lod, vector, ted, manifold, criterion, variance, subsample, machine, select, aod, ridge, selected, better, projected, performance, xlxt, sst, regression, datasets, selects, regularization, dataset, linear, test, wdbc, identity]
Volume Regularization for Binary Classification
Koby Crammer, Tal Wagner
Koby Crammer, Tal Wagner
[loss, algorithm, arow, set, bow, lemma, label, bound, generalization, term, supremum, uniform, usps, nlp, lower, volume, denote, minimum, empirical, inf, maintains, bayes, cast, margin, corollary, proof, element, fact] [max, additional, function, optimal, uncertainty, approach, based, tie, indicate] [distribution, log, number, alternative, gaussian, prior] [box, training, single, three, gmms, work, outperforms, global, root, directly] [problem, optimization, convex, min, analysis, support, robust, solve, monotonically, size, objective] [weight, noise, lack] [error, learning, svm, linear, data, point, datasets, test, vector, regularization, large, kth, superior, performance]
Probabilistic Event Cascades for Alzheimer's disease
Jonathan Huang, Daniel Alexander
Jonathan Huang, Daniel Alexander
[patient, set, ranking, partial, complexity, note, probability, mixing, case, uniform, walk, john, respect, observe, setting, worst] [state, grid, michael, total, transition, approach] [model, snapshot, ordering, disease, event, distribution, alpaca, number, gibbs, sampling, posterior, progression, inference, staircase, probabilistic, prior, markov, atrophy, sample, occur, will, staging, jonathan, sampler, draw, chain, parameter, csf, conditioned, cohort, biomarkers, neurodegenerative, occurred, allowing, collection, latent] [single, larger, work, score, adni] [measurement, problem, independent, corresponding, tau, size, running, general, method] [time, central, clinical, equation, position, early, effective] [data, learning, well, small, synthetic, space, neuroimaging]
Multiresolution analysis on the symmetric group
Risi Kondor, Walter Dempsey
Risi Kondor, Walter Dempsey
[set, called, appendix, case, algorithm, order, notion, sequence, sense, example, theory] [function, based] [will, form, distribution, number, computational, structure, discrete, overcomplete, process, collection, nested, tree] [wavelet, transform, invariant, multiscale, applied, sum, representation, single, haar, second, figure, window, representing] [analysis, sparse, proposition, symmetric, scaling, corresponding, subspace, young, spectral, high, matrix, generalized] [basis, adapted, system, natural, analog, framework, group, left, computation, description] [multiresolution, fourier, coset, rsn, irreducible, space, transforms, fast, orthonormal, permutation, machine, orthogonal, appropriate, fft, special, axiom]
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
Pradeep Shenoy, Angela Yu
Pradeep Shenoy, Angela Yu
[lower, consistent, probability, assume, minimizes] [decision, optimal, cost, policy, choice, function, belief, additional, expected, state, correct, sequential, faster, starting, current] [model, associated, inference, parameter, bayesian, implicit, process, observed] [figure, higher, cognitive, category, human, temporal, work, compare, accuracy, noisy, compared] [rate, underlying, journal, stochastic, iterative] [gng, response, ddm, nogo, threshold, stimulus, bias, deadline, evidence, behavioral, time, behavior, sensory, neural, accumulation, false, experimental, overt, boundary, difference, perceptual, trial, delay, framework, continue, gomez, requires, waiting, perception, nondecision, processing, offset, alarm, wait, study, account, making] [task, error, data, approximation, proposed]
Isotropic Hashing
Weihao Kong, Wu-Jun Li
Weihao Kong, Wu-Jun Li
[algorithm, theorem, set, complexity, lemma, prove, called, easy, order, adopt, exists] [based, function, search, idea, faster] [number, will, component, generate, scalable, compute] [training, learn, viewpoint, intersection, cifar, image, precision, recall, learned, figure] [matrix, pca, diagonal, problem, method, gradient, solution, denotes, random, achieve, analysis, spectral, objective] [time, experimental, equation, principal] [projection, isohash, hashing, data, itq, projected, binary, orthogonal, isotropic, pcah, learning, sikh, lsh, performance, lift, original, labelme, point, anisotropic, real, better, quantization, code, similarity, existing, hash, nearest, space, equal, neighbor, compact, table, distance, kth]
Bayesian Probabilistic Co-Subspace Addition
Lei Shi
Lei Shi
[volume, maximizing, consider, paper, set] [based, partially, average, updated] [bayesian, model, probabilistic, variational, inference, observed, xij, latent, modeling, hidden, prior, gaussian, process, sample, updating, gplvm, independently, generative, factor, dependent, log, cmu] [face, figure, image, randomly, compared, ieee, extract, simple, larger] [matrix, sparse, independent, high, solving, dimensional, subspace, size] [proportion] [pcsa, missing, data, tensor, pma, mae, frey, sylvester, table, performance, learning, orl, rmse, linear, addition, vector, mit, proposed, better, column, error, performs, jmlr, sparseness]
Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting
Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting
[case, set, algorithm, piecewise, derive, extended, note, example, uniform] [continuous, observation, state, belief, function, pbvi, optimal, symbolic, pressure, plant, reward, programming, horizon, transition, foreach, open, temperature, approach, pomdp, policy, required, dxs, backup, pomdps, hybrid, action, steam, decision, deterministic, reachable, intelligence, plan, extend, key, observable, simply, conference, observ, approximate, operation, casemax, mdps] [discrete, number, partition, model, conditional, variable, represented, will, described, markov] [figure, work, restricted] [exact, iteration, close, problem, constant, multivariate] [dynamic, relevant, power, time, computed, represent, insight, computation] [space, linear, large, point]
Convergence and Energy Landscape for Cheeger Cut Clustering
Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht
Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht
[minimum, energy, algorithm, critical, lemma, ipm, theorem, asd, strict, set, aipm, combinatorial, cheeger, sequence, corollary, property, closedness, isolated, cut, monotonicity, denote, fact, notion, provide, compactness, mathematical, vertex, landscape, proof, explicit, continuum, minimize, consider, increasing, usps, cslm, prove, hein, introduce, note, successive, exists, satisfying, coil] [continuous, function, understanding, conference, provided] [form, allows, university, will, structure] [local, global, map, second] [convergence, problem, iterates, graph, method, closed, min, minimization, constant, spectral, denotes, arg, suppose, neighborhood, convex, theoretical] [time, compatible, complete] [point, clustering, table, error, nearest, data, median, demonstrate, machine]
Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo, Yousef Saad
Thanh Ngo, Yousef Saad
[algorithm, version, derive, chosen, minimize, consider, set] [based, current, search, function, incomplete, good, converges, approach] [compute, will, observed, update, fully, number, conjugate, form, initialize, factor, count] [canonical, work, product, improve] [matrix, gradient, singular, rank, iteration, grassmann, scaled, descent, completion, method, subspace, step, exact, convergence, problem, grouse, optimization, size, lmafit, random, relaxed, recovery, procedure, condition, estimate, solve, svp, scaling, minimization, matlab, riemann, solution, gradfu, gradfv, objective, dominant] [computed, connection] [manifold, point, metric, proposed, rmse, tangent, orthonormal, approximation, machine, factorization, large, vector, small, error, projection, regularization, movielens]
Approximating Concavely Parameterized Optimization Problems
Joachim Giesen, Jens Mueller, Soeren Laue, Sascha Swiercy
Joachim Giesen, Jens Mueller, Soeren Laue, Sascha Swiercy
[path, algorithm, complexity, lemma, olynomial, bound, upper, inequality, monotonously, interval, oracle, generic, exists, lower, ompute, case, monotonicity, ren, note, bsn, theorem, eneric, proof, lim, joachim, jena, called, tight, bounded, provide, square, observe, loss, sequence, implies, consider, annals] [parameterized, observation, international, conference, continuous, martin, function, return, abstract, max, introduction] [parameter, compute, concavity] [second, svms, previous] [problem, solution, size, optimization, dual, matrix, min, support, claim, concave, completion, convex, derivative, constant, decreasing, regularized, primal, quadratic, exact, program, solves] [computed, germany, input, neural, area, implemented] [machine, svm, regularization, approximation, learning, vector, linear, kernel, compact, large]
Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou, Lawrence Carin
Mingyuan Zhou, Lawrence Carin
[measure, probability, denote, consider, lemma, set, note] [based, total, continuous, parametric] [process, topic, modeling, count, mixture, model, gamma, poisson, njk, dirichlet, binomial, distribution, document, dispersion, inference, number, base, hdp, discrete, latent, beta, sampling, gibbs, parameter, nonparametric, overdispersion, compound, hierarchical, bayesian, xji, sharing, vmr, disjoint, factor, lda, posterior, odl, word, completely, joint, conditional, draw, concentration, dependent] [figure, grouped, representation, applied] [random, analysis, normalized, analytical, variety, augmented, unique] [negative, group, expressed] [data, large, shared, distinct, constructed, small, performance, table, better, construct, learning]
Exponential Concentration for Mutual Information Estimation with Application to Forests
Han Liu, John Lafferty, Larry Wasserman
Han Liu, John Lafferty, Larry Wasserman
[inequality, theorem, result, term, bound, lemma, class, exists, bounded, consider, statistical, choose, fact, set, best, lder, depend, prove, proof, spanning, main, john, case, mathematical] [optimal, bivariate, based, choice, max, parametric] [log, exponential, concentration, exp, nonparametric, sample] [forest, ieee, apply, corresponds] [density, mutual, estimation, estimator, entropy, graph, estimate, shannon, random, estimating, assumption, estimated, eph, univariate, constant, rate, problem, edge, bandwidth, journal, department, analysis, method, technical, theoretical, propose, min, achieves, union, corresponding, han, kde] [bias, boundary, analyzing, desired] [kernel, learning, data, variance, error, machine, squared, functionals]
Transferring Expectations in Model-based Reinforcement Learning
Trung Nguyen, Tomi Silander, Tze Yun Leong
Trung Nguyen, Tomi Silander, Tze Yun Leong
[online, set, algorithm, probability, logistic, statistical] [state, transition, action, reward, agent, library, reinforcement, policy, lwt, transferring, accumulated, knowledge, good, based, optimal, frmax, function, heterogeneous, focus, lorerl, approach, environment, average, current, allow, fepsg, strategy, cumulative, recency, factored, goal, idea] [model, will, log, multinomial, parameter, structure, process] [view, learn, work, multiple, learned, compare, feature, figure, score, perform, scoring] [method, problem, matrix, random, journal, weighted] [transfer, time, system, difference, study] [learning, task, performance, selection, regression, column, large, test, data, space, well, small, machine]
Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco, Erik Sudderth
Jason Pacheco, Erik Sudderth
[energy, set, pairwise, algorithm, respect, true, example, minimize, consider] [belief, expectation, continuous, approximate, clutter, stationary] [gaussian, marginal, discrete, variational, propagation, inference, message, log, marginals, model, distribution, node, markov, sample, parameter, correspondence, initialization, valid, degenerate, loopy] [figure, local, simple, target] [free, bethe, lbp, mom, method, augmented, convergence, lagrangian, normalizable, optimization, gradient, random, iteration, multiplier, penalty, passing, unbounded, constrained, objective, degeneracy, toroidal, jst, problem, vst, family, symmetric, guaranteed, minimization, journal, positive, converge] [time, negative] [constraint, projection, lagrange, variance, error, point, machine]
Priors for Diversity in Generative Latent Variable Models
James Zou, Ryan Adams
James Zou, Ryan Adams
[probability, set, statistical, case, allocation, generalization, drawn, providing] [standard, approach, function] [latent, model, process, prior, generative, lda, will, mixture, dirichlet, distribution, variable, probabilistic, document, topic, structure, discrete, gaussian, number, variational, inferred, posterior, component, allows, inference, word, identical] [training, feature, accuracy, product, map, figure, applied, coates, image, ten, learned, work, unsupervised, view, perform] [independent, positive, general, density, matrix, random, denoted, size, require] [increase] [point, determinantal, dpp, kernel, test, data, diversity, common, learning, space, construct, distance, wmn, vector, machine, diverse, similarity, large, small, convenient, table]
A nonparametric variable clustering model
David Knowles, Konstantina Palla, Zoubin Ghahramani
David Knowles, Konstantina Palla, Zoubin Ghahramani
[algorithm, true, note, statistical, example] [approach] [dpvc, factor, model, cluster, process, expression, variable, bayesian, sample, mcmc, number, predictive, observed, dirichlet, variational, latent, sampling, structure, distribution, will, nonparametric, gaussian, mixture, posterior, university, probabilistic, sampler, hierarchical, prior, inference, nsfa, typically, crp, conditional, computational, log, chinese, crosscat, likelihood, joint, ability, restaurant, gibbs, considerably] [figure, dpm, multiple, simple, applied, work] [analysis, gene, covariance, sparse, journal, matrix, correlation, method, technical, diagonal, cancer, dimensional, high, corresponding] [correlated, principal, nature] [clustering, data, performance, dataset, synthetic, learning, table, test, euclidean, dimension, partitioning, appropriate]
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis, Michael Jordan
Ke Jiang, Brian Kulis, Michael Jordan
[algorithm, bregman, hard, set, divergence, asymptotic, version, note, consider, term, online, case] [function, approach, standard, total, expectation, conference] [exponential, cluster, number, mixture, distribution, will, gibbs, topic, gaussian, dirichlet, probabilistic, hierarchical, bayesian, asymptotics, model, multinomial, process, exp, sampler, prior, hdp, parameter, nonparametric, likelihood, scalable, sample, discrete, inference, conjugate, sampling, performing, posterior, assigned, nytimes, compute, door, utilized] [local, global, image, vision, scale, representation] [family, analysis, scaled, objective, corresponding, covariance, general, journal, application] [natural, viewed] [data, clustering, learning, existing, large, machine, point, squared, euclidean, well, generalizing]
A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski
Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski
[considered, set, best, consider, statistical, term, fact, consists, nlp, logistic, order] [approach, standard, based, function, knowledge] [model, relation, relational, number, latent, sme, language, modeling, verb, will, form, bigram, rescal, word, collobert, bayesian, srl, represented, collection] [semantic, trigram, wordnet, scale, work, subject, training, object, compare, product, representation] [rank, problem, matrix, stochastic, method, positive, corresponding] [natural, negative, direct, area, curve, lexical, processing, france, predict] [data, learning, large, tensor, similarity, performance, factorization, table, machine, dataset, triplet, well, datasets, auc, labeled, linear, shared, task, test]
Entropy Estimations Using Correlated Symmetric Stable Random Projections
Ping Li, Cun-Hui Zhang
Ping Li, Cun-Hui Zhang
[lemma, statistical, mining, algorithm, smaller, order] [anomaly, standard] [moment, sample, sampling, will, uij, model, highly, word, number, compute, distribution, generated, comparing] [figure, work, detection, scale, recall] [entropy, normalized, mse, estimator, shannon, stable, random, geometric, symmetric, estimation, stream, estimating, essentially, general, independent, estimated, analysis, attack, theoretical, ddos, streaming, compressed, tsallis, estimate, high, crucial, close, matrix, method, turnstile, problem, journal, exact, incrementally, unif, correlation, pseudorandom] [network, difference, correlated, time, frequency] [data, variance, vector, small, ping, nonnegative, counting, proposed, large, challenging, linear]
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov
Nitish Srivastava, Ruslan Salakhutdinov
[set, consists, consider, note, energy, probability, logistic] [international, conference, approximate, good, belief, average, state] [model, hidden, joint, distribution, modeling, gaussian, count, replicated, word, softmax, number, sampling, generative, observed, undirected, represented, inference, variational, will, lda] [multimodal, dbm, image, representation, deep, layer, boltzmann, map, rbm, visible, retrieval, modality, multiple, discriminative, unlabeled, dbn, autoencoder, trained, figure, training, computer, learn, vision, compared, ieee, restricted, dbms, mir, perform] [stochastic, sparse, fused, achieves] [input, pathway, network, unit, effectively] [data, text, learning, missing, unimodal, machine, binary, better, test, space, large, labeled]
Sketch-Based Linear Value Function Approximation
Marc Bellemare, Joel Veness, Michael Bowling
Marc Bellemare, Joel Veness, Michael Bowling
[theorem, set, lemma, denote, bound, probability, induced, case, fraction, setting, assume] [function, standard, reinforcement, atari, sketch, game, conference, agent, tile, mountain, state, michael, car, international, alberta, converges, provided, richard, exhaustive, benchmark, goal, policy] [full, number, university, component, parameter] [feature, score, performed, figure, work, experiment, learn] [random, matrix, sparse, method, size, solution, unique, step, exact, family] [bias, weight, time, memory, coding, equation, typical, magnitude] [hashing, learning, hash, vector, approximation, large, linear, table, error, performance, selected, better, data, inner, squared, worse, aaai]
Clustering Sparse Graphs
Yudong Chen, Sujay Sanghavi, Huan Xu
Yudong Chen, Sujay Sanghavi, Huan Xu
[algorithm, probability, setting, proof, paper, main, combinatorial, theorem, set, result, symposium, choose, classical, true, consider, minimum, note] [based, optimal, cost] [cluster, partition, will, log, model, number, pair, discrete, disjoint, social, supplementary] [computer, work, applied] [graph, matrix, edge, sparse, method, planted, convex, random, spectral, correlation, size, cac, weighted, aij, problem, relaxation, type, theoretical, sparsity, unweighted, stochastic, corresponding, density, proposition, program, high, recover, min, objective, pij, slink, solution, positive, adjacency, scaling, giesen, optimum, dual, singapore, unique] [natural, insight, range] [clustering, error, existing, performance, small, yij, annual, equal, table, better, proposed]
Confusion-Based Online Learning and a Passive-Aggressive Scheme
Liva Ralaivola
Liva Ralaivola
[confusion, online, copa, sequence, theorem, tyt, class, algorithm, risk, set, multiclass, probability, provide, statistical, hypothesis, consider, corollary, example, generalization, minimize, loss, proof, precisely, misclass, respect, hinge, cpq, remark, notation, order, introduce, measure, perceptron, consequence, observe, empirical] [provided, focus, unknown] [will, number, distribution, conditional, update, full, gaussian, concentration, exp, ability] [work, training, directly, indicator] [matrix, norm, family, random, problem, min, optimization, rate, numerical, objective, distributed, analysis, support, solution, theoretical, assumption, achieve] [equation, ext, prediction, dilation] [learning, small, data, row, vector, space, point, operator, addition]
Risk-Aversion in Multi-armed Bandits
Amir Sani, Alessandro Lazaric, Remi Munos
Amir Sani, Alessandro Lazaric, Remi Munos
[regret, arm, algorithm, risk, bandit, best, bound, pulling, expexp, case, term, notice, empirical, introduce, setting, design, theory, probability, report, true, remark, interesting, sequence, consider, result, highest, suffers, learner, pulled, suboptimal, introduced, repeatedly, order, measure, mvi, considered, lemma, depends] [expected, reward, standard, exploration, optimal, additional, return, average, simply, horizon, conference, coherent, cumulative] [number, distribution, log, model, parameter] [previous, multiple, simple, figure, compared, popular, second] [problem, analysis, theoretical, high, objective, constant, numerical, rate, random] [variability, difference, reported, computed, effective] [variance, learning, performance, small, large, selects, smallest]
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar, Hal Daume III
Piyush Rai, Abhishek Kumar, Hal Daume III
[set, assume, paper, term, multitask, variant, square] [assuming, function, goal, standard] [model, structure, log, number, conditional, will, prior, distribution, parameter, generated, gaussian, generate, explicitly] [training, multiple, learned, consisting, learn, structural, second] [covariance, matrix, inverse, sparse, sparsity, estimation, optimization, multivariate, problem, denotes, min, arg, solving, estimate, graphical, regularized, mse, relationship, penalty, independent, solution, objective, method, procedure, solve, lasso] [output, weight, equation, account, prediction, noise, response, input, varying, bias] [regression, task, synthetic, data, learning, vector, proposed, better, mtrl, dataset, mrce, linear, error, datasets, selected, regularization, special, performs, well]
Interpreting prediction markets: a stochastic approach
Nicolas Della Penna, Mark Reid, Rafael Frongillo
Nicolas Della Penna, Mark Reid, Rafael Frongillo
[loss, mirror, theorem, square, lim, note, empirical, consider, convexity, drawn, equivalence, uniform, equivalent, strictly, corollary, leave, increasing, survey, share] [market, price, belief, demand, liquidity, function, average, state, equilibrium, trader, wealth, cost, standard, maker, kelly, instant, walrasian, stationary, utility, bundle, current, contract, expected, automated, meu, australian, simulation, future, dlog, interpreting, understanding, science] [model, will, update, parameter, distribution, process, university, log, form] [figure, work, simple, improvement] [stochastic, convex, descent, relationship, technical, convergence, continuously, proposition] [prediction, limit, instantaneous, framework, connection, time] [point, learning, averaged, relative, machine, linear, national]
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson
Nicholas Foti, Sinead Williamson
[measure, class, set, square, probability, assume, note, drawn] [observation, describe, finite] [slice, sampler, sngp, dependent, process, number, gamma, distribution, nonparametric, predictive, covariate, model, atom, mixture, inference, beta, exponential, associated, dirichlet, nrms, parameter, crm, posterior, mass, component, allows, poisson, completely, crms, bayesian, will, carlo, collection, motorcycle, cmb, exp, conditional, truncation, monte, supplement, sample, mcmc, university, sampling, described, stamp] [box, raw, compare, three, figure, location] [normalized, random, size, underlying, density, general, generalized] [time] [kernel, data, space, existing, synthetic, point, kernelized, table, performance, variance]
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization
Konstantinos Tsianos, Sean Lawlor, Michael Rabbat
Konstantinos Tsianos, Sean Lawlor, Michael Rabbat
[communication, increasing, case, theory, minimize, loss, bound, set, depends, bounded, term, subset] [cost, function, optimal, tradeoff, total, focus, faster, intuition] [node, number, log, compute, message, will, cluster, full, update] [local, figure, achieved, second, performed, ieee] [distributed, optimization, communicate, graph, problem, convergence, size, convex, iteration, consensus, subgradient, communicating, averaging, dual, analysis, dda, speedup, step, erri, gradient, stochastic, increasingly, nopt, solving, cheap, converge, slows, general, receive, expander, solve, sparse, processor, ignoring, positive, high] [time, network, complete, computation, amount, processing, neural, study] [data, error, metric, learning, performance, mnist, dataset, linear, distance, large]
The Perturbed Variation
Maayan Harel, Shie Mannor
Maayan Harel, Shie Mannor
[statistical, hypothesis, gait, theorem, testing, note, discrepancy, consider, smaller, male, complexity, perturbed, female, emd, case, example, bipartite, chosen, measure, probability, wasserstein, notion, ranking, inf, bound] [optimal, based, null, plan, average, choice, cost, function] [sample, distribution, number, mass, maximum, generated, discrete, partition, allows, parameter, dependent, compute] [score, figure, precision, variation, work, higher, video, recall, map, simple, matching] [problem, convergence, graph, rate, estimated, size, analysis, estimate, multivariate] [transportation, presented, power, group, weight, perceptual, range] [similarity, test, distance, data, mmd, zij, small, well, error, better, knn, performance, point, metric, statistic]
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-Kyun Noh, Frank Park, Daniel Lee
Yung-Kyun Noh, Frank Park, Daniel Lee
[probability, class, consider, volume, equivalence, statistical, hypersphere, derive, result, sprt, jigang, bayes, asymptotic, cover, mathematical, race, minrace, minmaxratio, increasing, erlang, theory, cdv, set, equivalent, comparison, datum] [decision, average, function, based, strategy, sequential, optimal, approach, expected] [diffusion, number, model, poisson, bayesian, majority, distribution, log, process, probabilistic, posterior, generated] [accuracy, simple, cnn, level, applied, work, pattern, three] [density, conventional, rate, analysis, constant, random] [adaptive, rule, evidence, making, voting, time, amount, neural, presented] [nearest, neighbor, test, data, criterion, error, distance, ratio, well, performance, real, synthetic, point, considers, knn]
Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, John Platt, Sumit Basu, Yi Mao
Dengyong Zhou, John Platt, Sumit Basu, Yi Mao
[minimax, labeling, class, probability, set, true, assume, choose, minimizing, confusion, label, algorithm, empirical, minimize, relevance, minimum, measure] [average, conference, search, deterministic, max] [maximum, model, exp, majority, distribution, represented, observed] [accuracy, image, work, ground, truth, web, figure, subject] [entropy, method, optimization, regularized, program, matrix, measurement, density, random, propose, lagrangian, descent, coordinate, objective] [equation, principle, neural, processing, voting, natural, experimental] [yjl, worker, item, zijk, objectivity, labeled, dawid, crowdsourcing, learning, norfolk, ratio, table, regularization, pjl, terrier, norwich, judged, scottish, rasch, irish, row, zij, machine, data, better, wisdom, examinee, jkl, proposed]
From Deformations to Parts: Motion-based Segmentation of 3D Objects
Soumya Ghosh, Erik Sudderth, Matthew Loper, Michael Black
Soumya Ghosh, Erik Sudderth, Matthew Loper, Michael Black
[reference, set, probability, note, consider, chosen, lie] [approach, based, michael] [number, model, prior, distribution, process, inferred, triangle, restaurant, inference, modeling, link, chinese, observed, triangular, allows, collection, nonparametric, likelihood, partition, dependent, crp, described, sampler, posterior, sharing, sample] [mesh, segmentation, pose, articulated, human, object, ddcrp, figure, xbj, spatially, transformation, spatial, body, deformation, sxx, produced, syx, yjk, adjacent, segmenting, computer, previous, aligned, customer, work, correspond, single, deform, ajk, training] [matrix, spectral, corresponding, estimate, covariance] [equation, noise, motion, varying] [distance, data, clustering, learning, test, small, variance, appropriate]
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
Dongho Kim, Kee-Eung Kim, Pascal Poupart
Dongho Kim, Kee-Eung Kim, Pascal Poupart
[set, probability, algorithm, note, best, bound, order] [cost, state, action, total, belief, policy, beetle, expected, agent, backup, hyperstate, exploration, brl, reward, cpomdp, executing, optimal, unknown, pomdp, function, goal, discounted, recharging, cbeetle, transition, maze, admissible, discount, foreach, decision, mdp, wiz, bellman, max, standard, environment, cmdp, captured, reinforcement, current, slip, planning, behaviour, formulate, sampled, station, future, navigates, battery] [markov, number, bayesian, chain, factor, computational, parameter] [subject, figure, performed, top, location, single, representing, capture] [constrained, problem, solving, solve, step, denotes, iteration, corresponding, optimization] [time, basis, dynamic, experimental] [randomized, constraint, learning]
On Lifting the Gibbs Sampling Algorithm
Deepak Venugopal, Vibhav Gogate
Deepak Venugopal, Vibhav Gogate
[algorithm, set, complexity, true, note, propositional, theorem, query, main, order, called, assume, term, divergence, exactly] [function, approach, domain, required, idea, belief] [gibbs, cluster, sampling, lifted, markov, mln, blocked, atom, distribution, inference, assignment, message, ptp, probabilistic, blanket, formula, lbg, compute, logic, will, number, relational, normal, logical, mcmc, binomial, sample, variable, singleton, model, srl, predicate, grounding, constructing, associated, fol, form, chain, represented, marginal, blocking, partition] [ground, truth, representation, yielding, accuracy, figure, apply] [graph, generalized, weighted, jointly, lifting, denoted, random, exact] [time, rule, network, power, position, represent] [clustering, space, shared]
Timely Object Recognition
Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell
Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell
[class, set, order, consider, note, list, considered, case, active, best] [action, policy, context, evaluation, state, function, execution, reinforcement, cost, current, episode, based, start, expected, reward, answer] [model, component, latent, cascade, maximum, structure] [object, detection, detector, image, figure, feature, training, pascal, gist, recognition, scene, learned, score, learn, voc, single, work, root, category, include, bounding, obtains, precision, evaluate, agist, deformable, spatial] [method, greedy, problem, random, running] [time, system, represent, deadline, visual, determined, curve, area, computed, position, computation, setup] [performance, learning, better, dataset, common, small, selects, vector]
Searching for objects driven by context
Bogdan Alexe, Nicolas Heess, Yee Whye Teh, Vittorio Ferrari
Bogdan Alexe, Nicolas Heess, Yee Whye Teh, Vittorio Ferrari
[class, set, highest, statistical, subset] [search, observation, strategy, policy, context, based, grid, sequential, current, good, average, approach, visited] [number, evaluating, distribution, process, full, highly, sample] [window, object, detection, training, image, sliding, location, map, appearance, evaluate, feature, pascal, accuracy, greatly, learned, score, spatial, figure, improve, voc, deformable, cluttered, hog, detect, top, second] [method, step, propose, random, fewer, rate, involves, stochastic] [time, vote, output, visual, reduce, displacement, position] [test, learning, kernel, vector, mapping, relative, performance, similarity, candidate, large, space, dataset]
Nonparanormal Belief Propagation (NPNBP)
Gal Elidan, Cobi Cario
Gal Elidan, Cobi Cario
[algorithm, consider, case, complexity, change, substantial, true, depend, note, set] [belief, standard, continuous, bivariate, approximate, function, domain, approach, conference, inversion, intelligence] [gaussian, inference, model, npnbp, marginal, gcbn, propagation, marginals, tree, gabp, cbn, distribution, nonparametric, bayesian, joint, performing, variable, nbp, cluster, carried, form, xpaiki, inferred, elidan, loopy, normal, expression, valid, structure, upaiki, highly, message, probabilistic] [figure, structured, complex, local, perform, representation, capture, learned] [copula, density, univariate, exact, method, matrix, graph, graphical, convergence, general, gene, nonparanormal, rci, multivariate, wine, covariance, theoretical, random] [neural, computed, processing] [linear, quality, advantage, space, kernel, learning]
Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman, Fei Sha
Sung Ju Hwang, Kristen Grauman, Fei Sha
[class, set, perturbed, label, loss] [approach, based, hierarchy, knowledge] [tree, hierarchical, node, base, structure, number, will, generate, parent, form] [semantic, taxonomy, multiple, object, feature, forest, image, single, discriminative, leopard, learn, accuracy, figure, recognition, dalmatian, wolf, habitat, learned, wordnet, work, appearance, raw, attribute, training, distinguish, leaf, aquatic, category, humpback, leverage, whale, impact, combined, mtn, second, panda] [novel, method, problem, sparsity] [visual, cat, biological, basic, relevant, behavior] [kernel, learning, combination, regularization, regularizer, mkl, individual, large, proposed, select, labeled, distance, well, advantage, similarity]
Matrix reconstruction with the local max norm
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
[set, theorem, uniform, choose, result, lower, inf, empirical, excess, guarantee, term, consider, arbitrary, upper, order, introduce, denote, bound, uniformly] [max, function, conference, choice] [will, parameter, supplementary, distribution, marginal, sampling, salakhutdinov, comparing, marginals] [local, apply, scale, corresponds, second] [norm, matrix, weighted, smoothed, reconstruction, convex, penalty, family, theoretical, min, optimization, yield, arg] [unit, smoothing, neural, processing] [trace, error, learning, row, test, existing, movielens, prow, data, factorization, srebro, pcol, rmse, ball, hull, equal, interpolation, approximation, interpolate, improved, table, validation, vector, foygel, squared, movie, column, collaborative, includes, large, interpolating, selected]
On Multilabel Classification and Ranking with Partial Feedback
Claudio Gentile, Francesco Orabona
Claudio Gentile, Francesco Orabona
[loss, algorithm, logistic, ranking, multilabel, regret, set, bandit, partial, square, online, class, theorem, label, order, bayes, setting, upper, ordered, obr, consider, version, subset, notice, mediamill, paris, sony, chosen, probability, sequence, bound, true, multiclass, assume, list, suitable, csl, final, instance] [function, optimal, average, action, cost, based, cumulative, receives, good, playing] [number, model, full, associated, parameter, form, will, allows, ordering] [figure, restricted, contextual, produce, side, structured] [decreasing, problem, rank, constant, generalized, size, positive] [feedback, time, relevant, system, false, prediction, negative, account, typical, adaptive] [linear, learning, hamming, user, vector, performance, large, approximation]
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Tatsuya Harada, Yasuo Kuniyoshi
[respect, comparison, called, proper, probability, consider, note] [expectation, standard, based, approach, calculate] [gaussian, number, model, distribution, represented, structure, parameter, markov, sampling, field, exponential] [local, image, ggv, feature, ifk, spatial, gmrf, training, object, fim, figure, ggvs, global, lac, layout, mgmrf, sift, categorization, representation, matching, compared, pyramid, scene, randomly, accuracy, second, commonly, codebook, build, achieved, score, region, spanned] [norm, graph, rate, matrix, method, graphical, multivariate, random, coordinate, step, normalized, correlation, generalized] [fisher, natural, visual, calculated] [dimensionality, vector, metric, better, linear, proposed, classification, calculation, space, kernel, performance, embedding, improved, distance, point, euclidean]
Joint Modeling of a Matrix with Associated Text via Latent Binary Features
XianXing Zhang, Lawrence Carin
XianXing Zhang, Lawrence Carin
[set, statistical, interesting, subset, note] [based, percentage] [model, latent, topic, associated, legislation, joint, modeling, document, number, modeled, process, mgp, posterior, piece, ftm, dirichlet, observed, usage, inferred, sampling, truncation, indian, ibp, xij, buffet, construction, factor, linkage, bmf, bayesian, infer, opic, probabilistic, manifested, vertical, described, will, conditional, gamma, distribution] [feature, figure, axis, level, discriminative] [matrix, analysis, rank, decomposition, denotes, assumption, sparse] [represents, house, prediction, study, frequency, processing, neural, developed, voting, characteristic, framework, demonstrated] [binary, text, data, proposed, column, factorization, missing, focused, row, predicting, kth]
"Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss"
Zhuo Wang, Alan Stocker, Daniel Lee
Zhuo Wang, Alan Stocker, Daniel Lee
[loss, asymptotic, lower, bound, theorem, arbitrary, minimizing, minimizes, maximizing, upper, square, uniformly, order, derive, inequality, theory, fact, attained, result, notice, asymptotically] [optimal, function, standard, converges, expected] [poisson, distribution, will, prior, gaussian, moment, log, process, observed, number, maximum, parameter, university, factor] [work, side, figure, simple] [mutual, estimator, rate, theoretical, random, estimation, problem, general, convergence, condition, method, numerical, analysis, solution, conventional, estimate] [tuning, curve, stimulus, fisher, neural, hmin, encoding, mle, neuron, hmax, limit, time, coding, long, population, sensory, sigmoidal, infomax, noise, spiking, behavior, limited, prediction, decoding, pennsylvania] [well, special, error, functional, squared]
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle, Mehryar Mohri
Borja Balle, Mehryar Mohri
[algorithm, arbitrary, bound, set, generalization, setting, main, drawn, case, loss, probability, equivalent, note, notation, theorem, denote, consider, fact, algorithmic, proof, lemma, write, order, combining, length, instance] [function, based, unknown, describe, approach] [distribution, will, generated, sample, number, probabilistic, hidden, described, markov] [target, applied, speech] [matrix, spectral, weighted, completion, hankel, wfa, method, analysis, convex, general, automaton, family, problem, string, singular, constrained, assumption, solving, wfas, denotes, rank, require, norm, denoted, corresponding, optimization] [stability, basis, processing, study] [learning, space, labeled, regularization, data, missing, real, vector, mapping]
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee, Alexander Gray
Nishant Mehta, Dongryeol Lee, Alexander Gray
[mtl, empirical, minimax, risk, inf, probability, loss, set, drawn, paradigm, true, classical, case, minimize, bound, ltl, minimizing, hypothesis, consider, theorem, iid, introduce, measure, aep, uniform, newly, continuum, respect, worst] [goal, dashed, max, expected, optimal, standard, choice] [maximum, parameter, distribution, will, model] [training, learn, figure, level, work, representation, outperform, second] [objective, norm, generalized, convex, high, random, problem, suppose, reduced, regularized, solution, journal, type] [prediction, capacity, solid, company, spectrum, time, blue, natural] [learning, task, test, error, trace, machine, rmse, vector, dataset, space, user, linear, shared, data, special, squared, performance, small]
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-Paz, Jose Miguel Hernandez-Lobato, Bernhard Schölkopf
David Lopez-Paz, Jose Miguel Hernandez-Lobato, Bernhard Schölkopf
[set, series, theory] [qqq, qqqq, qqqqq, qqqqqqq, qqqqqq, qqqqqqqq, qqqqqqqqq, domain, qqqqqqqqqq, bivariate, function, qqqqqqqqqqq, qqqqqqqqqqqqqqq, qqqqqqqqqqqqq, qqqqqqqqqqqq, vine, nprv, parametric, qqqqqqqqqqqqqq, conditioning, qqqqqqqqqqqqqqqq, standard, average, knowledge, based, approach, uci, approximate] [marginal, gaussian, model, conditional, sample, tree, marginals, distribution, described, number, will, computational, form] [target, source, training, figure, product, building] [density, copula, random, method, multivariate, estimation, dependence, edge, estimate, novel, solving, propose] [adaptation, regular, transfer, cdf, framework] [data, proposed, learning, task, kernel, regression, address, test, table, common, dataset, selected]
Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher, Brody Huval, Bharath Bath, Christopher Manning, Andrew Ng
Richard Socher, Brody Huval, Bharath Bath, Christopher Manning, Andrew Ng
[set, order, comparison, main, combining] [based, standard, water] [model, tree, number, structure, will, softmax, allows, parent, hierarchical] [depth, rnns, object, cnn, feature, layer, recursive, unsupervised, rnn, rgb, image, work, learn, single, convolutional, food, multiple, color, training, deep, recognition, pooled, scene, applied, pooling, convolution, trained, figure, raw, modality, architecture, scale, vision, computer, invariant, previous, compared, level, cnns, segmentation, box, improves, performed, produce, garlic, top] [random, size, matrix, high, sparse, method] [neural, input, network, surface] [learning, vector, performance, large, kernel, dataset, quality, art]
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang, Zhihua Zhang
Shusen Wang, Zhihua Zhang
[algorithm, theorem, set, lemma, bound, main, lower, empirical, complexity, theory, probability, paper, subset, generalization, symposium, call] [michael, based, approximate, deterministic, relies, science, cost, expectation, tighter] [sampling, compute, construction, log, number, loading] [target, svd, second, work, computer, figure] [matrix, subspace, dual, running, decomposition, rank, analysis, journal, problem, novel, truncated, theoretical, achieve, high, singular, eigenvalue, siam] [time, stage, adaptive, requires, residual, computed, natural] [cur, fast, error, ratio, selection, data, construct, column, randomized, relative, proposed, row, petros, existing, large, select, dataset, selects, small, dexter, arcene, annual, approximation]
Bayesian Hierarchical Reinforcement Learning
Feng Cao, Soumya Ray
Feng Cao, Soumya Ray
[algorithm, set, observe, pseudo] [maxq, optimal, reward, function, primitive, reinforcement, good, approach, policy, hierarchically, current, state, uninformed, agent, hierarchy, subtask, standard, conference, recursively, environment, action, subtasks, episode, transition, exit, ecompute, faster, idea, knowledge, hrl, international, exploration, cumulative, sim, hallway, expected] [bayesian, prior, hierarchical, model, posterior, update, distribution, probabilistic, computational, structure] [learn, work, incorporating, figure, child, manually, evaluate] [completion, composite, convergence, denotes, estimate, needed] [difference, framework] [task, learning, machine, advantage, better]
Supervised Learning with Similarity Functions
Purushottam Kar, Prateek Jain
Purushottam Kar, Prateek Jain
[loss, respect, algorithm, generalization, bounded, theorem, appendix, exists, prove, guarantee, note, margin, provide, discussion] [function, good, utility, conference, international, approach, choice, benchmark] [number, model, will, log, distribution, reader] [landmark, training, baseline, work, target, second, learn, compare] [problem, sparse, method, step, require, general, mse] [absolute, natural] [learning, similarity, regression, kernel, ordinal, predictor, error, psd, goodness, landmarked, linear, supervised, datasets, well, landmarking, data, space, annual, task, machine, sigmoid, admissibility, large, vector, small, labeled, criterion, selection, existing, technique, squared, performance, manhattan, dimensionality, orland, construct, nathan]
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
[empirical, complexity, probability, loss, true, setting, change, lemma, learner, measure, polynomial, algorithm, consider, provide] [exploration, max, state, progress, transition, beb, policy, optimal, reinforcement, correct, based, standard, agent, action, belief, expected, loo, drive, approach, reward, stationary, function, future, motivation, visitation, bonus, environment, goal, rmax, empirically, unstructured, current, mdp, evaluation] [model, bayesian, prior, sample, number, dirichlet, pair] [accuracy, learned, work, experiment, directly, concept, previous] [estimate, estimator, estimated, random, theoretical, propose, require] [threshold, intrinsic, time, motivated, ensure] [learning, data, variance, machine, performance, error, original, large]
Dip-means: an incremental clustering method for estimating the number of clusters
Argyris Kalogeratos, Aristidis Likas
Argyris Kalogeratos, Aristidis Likas
[uniform, set, algorithm, order, case, statistical, hypothesis, consider, pairwise, provide, testing, reference, arbitrary, class] [based, percentage, search, max] [cluster, split, number, distribution, model, gaussian, generated, structure, reasonable, compute] [applied, score, single, figure, multiple, level, local, three, apply, mode] [density, method, splitting, procedure, incremental, propose, journal, matrix, min] [neural, computation, presented] [data, dip, clustering, kernel, test, dataset, ari, unimodality, criterion, viewer, distance, datapoints, datasets, unimodal, statistic, proposed, synthetic, vector, respective, vthd, multimodality, learning, original, ring, selected, table, space]
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun
[algorithm, consider, corollary, approximated, set, marginalization, energy, probability, minimizing, upper, provide] [optimal, approach, max, function, reach, explore, programming, belief, stationary] [inference, message, typically, described, conjugate] [map, region, work, correspond, simple, global] [dual, convex, descent, primal, program, objective, steepest, method, graphical, solution, monotonically, glass, spin, claim, recover, duality, coordinate, guaranteed, block, stuck, subgradients, optimum, relaxation, decreasing, lagrangian, achieve, convergent, general, graph, subdifferential, adlp, min, quadratic, convergence, problem, subgradient] [direction, time, amount, decrease, difference] [linear, construct, well, vector, point, performs]
Robustness and risk-sensitivity in Markov decision processes
Takayuki Osogami
Takayuki Osogami
[risk, probability, measure, equivalent, respect, set, minimizing, case, theorem, minimize, worst, consider, assume, erm, true, equivalence, minimizes, paper, deviation] [mdp, uncertainty, cost, cumulative, decision, iterated, optimal, max, expected, policy, crmh, function, state, nominal, transition, expectation, coherent, mdps, deterministic, optimality, uncertain, utility, illustrated, standard, icte, icrmh, conference, action, characterized, extend, cte, tail] [markov, mass, will, exponential, variable, relation, represented, parameter, conditional, distribution, discrete] [figure, second, sum, side] [robust, objective, random, min, denotes, corresponding, optimization, support, concave, solution, establish, penalty, robustness, general, stochastic] [dynamic, formally, study, depending] [small]
Cocktail Party Processing via Structured Prediction
Yuxuan Wang, DeLiang Wang
Yuxuan Wang, DeLiang Wang
[set, maximizing, sequence, label, algorithm] [based, function, transition, state, standard] [separation, crf, model, hidden, modeling, conditional, marginal] [speech, dnn, feature, ibm, training, intelligibility, temporal, structured, unvoiced, snr, accuracy, human, trained, acoustic, unseen, figure, target, enhancement, compare, cocktail, window, directly, outperforms, learned, deep, mask, layer, kim, previous, monaural, train, ieee, frame, local, score, utterance] [rate, objective, gradient, random, problem, estimated, high, condition, propose] [system, neural, channel, noise, time, nonlinear, unit, ideal, auditory, represents, output, cnf, prediction, frequency] [test, proposed, binary, well, performance, linear, learning, existing, better, svm]
Gradient Weights help Nonparametric Regressors
Samory Kpotufe, Abdeslam Boularias
Samory Kpotufe, Abdeslam Boularias
[lemma, online, set, term, probability, theorem, assume, main, bounded, housing, case, consistency, regressors, bound, exist, consider, smaller, prove, proof, varies] [unknown, continuous, function, search, max, average, remains] [joint, number, marginal, sample, log, mass, vary] [training, learned, weighting, simple, larger, figure, local, second, apply, learn] [estimate, estimator, gradient, wine, derivative, norm, problem, coordinate, bandwidth, normalized, concrete, density, method] [time, input, prediction, bias, output] [error, regression, metric, tei, kernel, sei, space, learning, performance, variance, telecom, euclidean, dataset, datasets, sarcos, distance, barrett, table, data, quality, large, small]
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
Lloyd Elliott, Yee Whye Teh
Lloyd Elliott, Yee Whye Teh
[sequence, probability, set, runtime, consecutive, order, derive, label] [continuous, trajectory, describe, required] [dfcp, cluster, cfcp, model, process, fragmentation, coagulation, genetic, number, markov, will, partition, distribution, structure, discrete, chromosome, imputation, latent, allele, snp, conditional, posterior, crp, haplotype, chain, parameter, sampling, jump, prior, mcmc, proportional, xit, conditioned, beagle, update, marginal, recombination, singleton, held, likelihood, gibbs, fastphase, form, inference, nonparametric, place, genotype, hapmap, observed, described] [location, accuracy, figure, human, single, yielding] [random, exact, condition, rate, iteration, problem] [time, population, simulated, switching] [data, missing, binary]
Learning with Partially Absorbing Random Walks
Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, Shih-Fu Chang
Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, Shih-Fu Chang
[probability, vertex, walk, pagerank, ranking, theorem, set, setting, denote, including, label, case, property, consider, sharp, order, interesting, note, lemma] [starting, state, partially, transition, function, current, simulation] [will, cluster, process, markov, mass, vary, distribution, parameter, structure, chain, gaussians, diffusion] [local, three, larger] [absorption, random, graph, parws, parw, absorbing, absorbed, pii, matrix, commute, rate, method, hitting, slowly, sharply, personalized, theoretical, dropping, suppose, desirable, assumption, analysis, low, proposition, high, hij] [conductance, harmonic, drop, wij, time, varying] [data, learning, vector, small, large, labeled, existing, table, special]
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
Won Hwa Kim, Deepti Pachauri, Charles Hatt, Moo. K Chung, Sterling Johnson, Vikas Singh
Won Hwa Kim, Deepti Pachauri, Charles Hatt, Moo. K Chung, Sterling Johnson, Vikas Singh
[statistical, set, vertex, hypothesis, derive, series, note] [function, based, domain, showing, control, short] [disease, process, diffusion, performing, number, university] [wavelet, scale, multiple, shape, transform, descriptor, figure, representation, multiscale, compare, mesh, structural, directly, transformation, image, applied, performed, native, ieee] [analysis, graph, weighted, coordinate, inverse, high, journal, procedure, random, application, spectral, method] [cortical, surface, signal, thickness, brain, basis, fdr, spherical, frequency, group, smoothing, processing, localized, correction, wmd, spharm, harmonic, varying, framework, analyzing, outer, spectrum, dilation] [fourier, data, well, original, row, dataset, inner, neuroimaging, laplacian, mapping]
Controlled Recognition Bounds for Visual Learning and Exploration
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
[active, upper, lower, path, bound, volume, case, risk, set, denote, consider, minimum, probability, class, segment, regret, design, theory, order, energy, depends, best, respect, minimize] [control, search, agent, clutter, authority, unknown, exploration, reachable, function, average, decision, environment, tradeoff, international, conference, state, simplest, strategy, interested, max, empirically, uncertainty, focus, action, radiance, optimal, planning, expected] [model, conditional, prior, gaussian, process, distribution, will, posterior, collection, number, ability, described] [object, scene, recognition, ieee, location, sensor, three, figure, map, target, occlusion] [entropy, problem, arg, density, measurement, min, sensing, random] [time, visual, residual, computed, experimental] [performance, data, learning, space, test, task]
Submodular-Bregman and the Lova _sz-Bregman Divergences with Applications
Rishabh Iyer, Jeff Bilmes
Rishabh Iyer, Jeff Bilmes
[submodular, bregman, divergence, set, algorithm, bound, lower, consider, refer, modular, extreme, upper, interesting, tight, call, case, extension, class, supergradient, theorem, finally, provide, nemhauser, hard, combinatorial, exactly, easy, iyer, nice, analogous, note, property, called, convexity] [function, based, approximate, parameterized, choice] [number, discrete, will, form, ordering, log] [map, recall, three] [generalized, subgradient, convex, proximal, minimization, corresponding, optimization, problem, weighted, subgradients, subdifferential, procedure, analysis, relaxation] [framework, lattice, natural, difference, represent, maximization] [permutation, clustering, distance, special, learning, vector, point, representative, machine, submodularity, generalize, large, generalizes]
Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong Yoon, Vladimir Pavlovic
Sejong Yoon, Vladimir Pavlovic
[set, algorithm, setting, cube, assume, depend, case, term] [approach, international, mar, conference, additional, based, indicate] [probabilistic, model, structure, node, parameter, latent, will, gaussian, log, observed, posterior, likelihood, number, component] [sfm, centralized, camera, object, local, computer, angle, ieee, vision, feature, sensor, ppca, mnar, work, rames, global, ground, accomplished, apply] [distributed, matrix, subspace, consensus, general, pca, optimization, independent, convergence, estimation, density, journal, augmented, lagrangian, analysis, method, measurement] [motion, traditional, network, connected, noise, principal, signal, processing, framework] [data, missing, learning, synthetic, variance, real, factorization, point, deal, dataset]
Learning Partially Observable Models Using Temporally Abstract Decision Trees
Erik Talvitie
Erik Talvitie
[partial, probability, set, sequence, true, note] [timeline, agent, key, timestamp, timestamps, decision, partially, observable, history, reward, control, talvitie, conference, current, action, suffix, good, snake, card, observation, finite, timelinetree, abstract, abstraction, average, gallery, head, profile, allow, pellet, arbitrarily, provided, tail, optimal, short, future, uct, shooting] [tree, model, will, form, associated, number, ability] [training, feature, figure, learned, learn, color, pixel, target, three, temporal, location, root, multiple, simple, capture, remember, leaf] [step, problem] [prediction, time, predict, making, position, complete] [learning, performance, data, machine, binary]
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Hugo Larochelle, Stanislas Lauly
[set, complexity, probability, logistic, minimizing, sequence] [international, based, conference, observation, average] [word, replicated, model, hidden, document, softmax, docnade, topic, distribution, generative, computing, tree, multinomial, nade, latent, salakhutdinov, sampling, hinton, lda, conditional, parameter, observed, perplexity, vocabulary, number, meaningful, sigm, conditionals, will, inference, newsgroups, undirected, mixture, bayesian, larochelle, compute] [training, representation, layer, learned, rbm, figure, work, product, retrieval, architecture, corresponds, single] [size, gradient, stochastic, normalized, matrix, autoregressive] [neural, equation, network, computed, computation] [learning, binary, data, machine, vector, proposed, original, large, linear, performance, test, validation, approximation]
"Burn-in, bias, and the rationality of anchoring"
Falk Lieder, Thomas Griffiths, Noah Goodman
Falk Lieder, Thomas Griffiths, Noah Goodman
[algorithm, probability, bounded] [optimal, rational, cost, initial, adjustment, anchoring, psychological, function, expected, utility, mind, based, heuristic, boundedly, duration, approximate, belief, optimality, science, approach, decision, epley, tradeoff, understanding, cognition, unknown] [inference, posterior, bayesian, number, probabilistic, sampling, model, distribution, process, will, mcmc, computational, markov, prior, university] [cognitive, figure, human, previous, experiment] [problem, estimation, estimate, convergence, iteration, analysis, numerical, general, estimated] [bias, time, processing, range, plausible, memory, wide, framework, basis, illustrates, reported, equation, mental] [biased, approximation, well, error, ratio, relative]
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes
Michael Bryant, Erik Sudderth
Michael Bryant, Erik Sudderth
[online, algorithm, set, drawn, note, lower, bound, consider, change, provide] [based, approach, expectation, expected, adapt] [variational, topic, inference, dirichlet, number, nonparametric, likelihood, model, log, split, hierarchical, document, update, initialize, merge, bayesian, hdp, ohdp, truncation, process, word, york, monte, carlo, corpus, predictive, cgs, distribution, latent, prior] [global, restricted, pattern, figure, compare, local, single, level, representation] [batch, type, objective, conventional, iteration, procedure, analysis, splitting, method] [cortex, neuronal, activation, peak] [test, learning, large, data, better, small]
Human memory search as a random walk in a semantic network
Joshua Abbott, Joseph Austerweil, Thomas Griffiths
Joshua Abbott, Joseph Austerweil, Thomas Griffiths
[walk, order, probability, pagerank, theorem, result, uniform, algorithm, consider, consistent, derived] [average, search, people, optimal, transition, psychological, searching, state] [word, number, model, marginal, process, cluster, prior, structure, university, chain, distribution, node, markov, jump, jumping] [semantic, irt, patch, human, switch, produced, retrieval, foraging, figure, produce, irts, simple, web, internet, food, retrieve, entire, appear, exploring, troyer] [random, entry, matrix, rate, analysis, relationship] [memory, time, network, animal, account, behavior, relevant, switching, predicted, cue, evidence, difference, reported, amount, additive] [item, relative, clustering, similarity, task, distance, ratio]
Hierarchical spike coding of sound
Yan Karklin, Chaitanya Ekanadham, Eero Simoncelli
Yan Karklin, Chaitanya Ekanadham, Eero Simoncelli
[statistical, set] [approximate, sampled, pressure] [model, hierarchical, structure, log, inference, generated, component, prior, poisson, process, gaussian, generative, supplementary] [representation, acoustic, denoising, learned, layer, center, speech, second, complex, temporal, figure, multiple, improvement, matching, scale, trained, resolution, appear, composed, convolution, work, learn] [rate, corresponding, sparse, step, pursuit, strong] [frequency, time, spikegram, spike, sound, noise, freq, coupling, auditory, coarse, represent, coding, precise, recurrent, modulated, neural, signal, processing, gammatone, natural, white, harmonic, hsc, phone, logarithm, wiener, pitch, encoding, timit, temporally, encode] [data, performance, linear, well, learning, original, unobserved]
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Anil Jain, Shaili Jain, Tianbao Yang
Jinfeng Yi, Rong Jin, Anil Jain, Shaili Jain, Tianbao Yang
[pairwise, algorithm, set, subset, measure, true, theorem, consistent, derived, main, note] [based, key, function, sampled, partially, optimal, average, approach] [cluster, number, base, observed, computational, sample, parameter, collection] [image, annotated, object, learn, figure, human, learned, noisy, imagenet, pascal, work, raw, feature, baseline, expect, learns, three] [matrix, completion, method, problem, constrained, high, positive, analysis, robust, solution, propose, correctly] [perfect, noise, framework] [distance, metric, learning, similarity, clustering, proposed, data, manual, large, crowdclustering, small, regression, challenge, performance, address, crowdsourcing, better, rong, kernel, appropriate, rdml, vector, linear, keywords, common, individual]
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
Chao Zhang, Lei Zhang, Jieping Ye
[generalization, asymptotic, quantity, covering, class, inequality, theorem, bound, statistical, empirical, deviation, risk, symmetrization, drawn, measure, resultant, complexity, introduce, probability, set, result, situation, discrepancy, analyze, paper, respect, combining, denote, bounded, consider, minimizes, noteworthy, main, setting, rademacher, wortman, classical] [domain, function, based, expected, conference, science, provided, choice] [process, number, distribution, supplement, sample, will, develop] [multiple, target, source, training, differs, experiment] [convergence, assumption, rate, numerical, analysis, condition, random, corresponding, journal, support, norm] [adaptation, difference, study, processing, neural, behavior, presented] [learning, data, machine, distance, proposed, test, metric]
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
Sander Bohte
Sander Bohte
[change, version] [function, current, deterministic, key, simulation, black, optimal] [model, generated, held, exponential, number, probabilistic] [contrast, figure, sum, local, detection, temporal, scale] [rate, scaled, normalized, journal, constant, relationship, high, scaling] [adaptation, signal, multiplicative, neural, response, threshold, effective, adaptive, coding, dynamic, spike, additive, asrm, time, gain, stimulus, input, spiking, experimental, neuron, velocity, range, sensory, encoding, switching, cycle, account, magnitude, optimized, decaying, modulation, computed, adapted, behavior, changing, van, limited, suggests, visual, red, baccus, filter, nature, ozuysal, firing, quantitatively, computation] [variance, kernel, data, linear, fast, projected, original]
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
Bruno Scherrer, Boris Lesner
Bruno Scherrer, Boris Lesner
[bound, theorem, proof, consider, lemma, sequence, prove, result, example, induction, fact, exists, loss, tight, algorithm, volume, write, element, main, argument, best, consists, conjecture, upper, theory] [policy, stationary, api, optimal, avi, approximate, action, standard, conference, state, international, vmax, function, periodic, bellman, move, decision, stay, control, mdp, programming, based, reward, reinforcement, deterministic, clearly, intelligence, context, discounted, describe, choice] [will, markov, factor, generated, sample, compute, computing] [period, improvement] [iteration, greedy, journal, running, analysis, norm, close, unique] [dynamic, output, nonstationary] [performance, machine, learning, better, approximation, error, point, operator, original]
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Ronald Ortner, Daniil Ryabko
Ronald Ortner, Daniil Ryabko
[regret, algorithm, bound, bounded, probability, lder, upper, set, interval, assume, term, bandit, theorem, proof, peter, remark, considered, case, setting, appendix, derive, chosen, online, satisfying] [state, transition, continuous, pagg, reinforcement, action, reward, policy, uccr, optimal, mdps, mdp, episode, aggregation, average, agg, michael, exploration, ronald, conference, function, discretized, undiscounted, span] [log, discretization, number, markov, parameter, poisson, will, model] [] [assumption, problem, general, close, step] [bias, plausible, equation, processing, neural, time, adaptive, nat] [learning, space, respective, proposed, metric, dimension]
Spiking and saturating dendrites differentially expand single neuron computation capacity.
Romain Cazé, Mark Humphries, Boris Gutkin
Romain Cazé, Mark Humphries, Boris Gutkin
[term, strictly, lemma, paris, increasing, prove, call, example] [function, based] [number, computational, compute, parameter, expression, model, form, variable] [architecture, local, single, sum, figure, restricted, feature, multiple, layer, recall] [positive, family, proposition, type] [dendritic, boolean, spiking, neuron, transfer, saturating, unit, implement, lnbfs, complete, stage, dnf, fsat, cnf, fspk, computation, somatic, input, imply, implemented, implementation, tuning, synaptic, study, pyramidal, implementing, linearly, dendrite, increase, threshold, prime, enable, binding, output, expressed, excitatory, formally, depolarization, march, disjunction, integration] [linear, binary, table]
Hamming Distance Metric Learning
Mohammad Norouzi, David Fleet, Ruslan Salakhutdinov
Mohammad Norouzi, David Fleet, Ruslan Salakhutdinov
[loss, bound, pairwise, ranking, upper, hinge, class, empirical, set, algorithm, query, report, including] [function, based, search, max, approach] [inference, pair, update, discrete, latent, structure] [training, semantic, retrieval, image, learn, previous, precision, complex, learned, discriminative, convolutional, evaluate, structural] [objective, optimization] [neural, input, framework, sign] [hamming, distance, binary, learning, triplet, hash, knn, similarity, metric, linear, hashing, performance, euclidean, nearest, mnist, code, preserve, test, asymmetric, vector, space, error, table, neighbor, large, optimize, compact, preserving, machine, mapping, data, bit, datasets, challenging]
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
Azadeh Khaleghi, Daniil Ryabko
Azadeh Khaleghi, Daniil Ryabko
[change, sequence, algorithm, length, consistent, consistency, ergodic, segment, true, consider, asymptotically, lemma, theorem, minimum, statistical, lim, consecutive, assume, list, proof, complexity, order, probability, denote, considered, distributional, case, polylog, asymptotic, uniform, prove] [unknown, stationary, converges, function, average, assumed, generating, required] [number, process, nonparametric, generate, generated, dependent, pair, parameter, highly, computational, markov, marginal] [multiple, work, score, experiment, recall, higher] [estimation, general, estimate, problem, corresponding, converge, estimator, estimated, theoretical, journal, assumption, convergence, rate, normalized] [input, framework, output, experimental] [point, distance, data, performance, error, sorted, linear, proposed, clustering, permutation]
Learning Mixtures of Tree Graphical Models
Anima Anandkumar, Daniel Hsu, Furong Huang, Sham Kakade
Anima Anandkumar, Daniel Hsu, Furong Huang, Sham Kakade
[set, probability, algorithm, consider, pairwise, denote, result, class, provide, vertex, case, lemma] [based, choice, correct] [mixture, tree, model, component, node, markov, number, observed, variable, sample, structure, distribution, hidden, marginals, discrete, parameter, conditional, degree, edit, likelihood, pair, computational, latent] [product, weak] [graphical, graph, method, rank, union, estimation, spectral, separator, estimate, estimating, size, general, decomposition, denotes, require, corresponding, estimated, involves, singular, matrix, condition, suvw, min, random] [fig] [learning, proposed, approximation, selection, test, award, data, performance, triplet, error]
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
Shay Cohen, Michael Collins
Shay Cohen, Michael Collins
[algorithm, set, sentence, note, probability, consider, complexity, result, denote, cubic, assume, paper, measure, length] [parsing, skeletal, approach, parse, approximate, programming, describe, pcfgs, parser, vanilla, cost, pruning] [latent, tree, number, node, computational, inference, distribution, hidden, will, marginals, form, associated, computing, language, rest, log, full, parameter, base, pcfg, factor, compute] [figure, child, product, reason, axis] [decomposition, spectral, problem, formulation, alternating, estimation, minimal, norm, exact, matrix, min] [rule, dynamic, left, time, threshold, computation, natural, experimental] [tensor, vector, performance, row, approximation, data, linear, binary, technique]
Localizing 3D cuboids in single-view images
Jianxiong Xiao, Bryan Russell, Antonio Torralba
Jianxiong Xiao, Bryan Russell, Antonio Torralba
[term, set, notice] [function, approach, based, goal] [model, full, number, allows, tree, latent] [corner, cuboid, figure, object, image, detection, shape, detector, aspect, scene, appearance, camera, root, training, detect, location, hog, localization, recall, baseline, spatial, scoring, accuracy, single, bounding, entire, trained, detected, azimuth, indoor, ground, computer, box, rigid, feature, depicted, build, human, internal, elevation, reasoning, sun, layout, scatter, work, learn] [edge, geometric, positive, plot, recover, corresponding, graph] [negative, output, equation] [database, row, column, labeled, performance, large, data, distance, approximation]
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
Stefan Habenschuss, Johannes Bill, Bernhard Nessler
Stefan Habenschuss, Johannes Bill, Bernhard Nessler
[note, order, set, lower, uniform, theory, class, volume] [average, optimal, expected, expectation, state, approach, sketch, simulation] [variational, model, posterior, inference, distribution, bayesian, probabilistic, will, hidden, log, sampling, prior, sample, mixture] [figure, local, target, second, pattern] [theoretical, stochastic, corresponding, gradient, require] [network, spiking, homeostatic, plasticity, synaptic, intrinsic, input, wta, neural, vki, recurrent, neuron, output, rule, wkj, spike, response, activation, nontrivial, excitability, maximization, implemented, framework, biologically, potential, presented, perspective, implement, realistic, interplay, constrain, course, homeostasis, inhibition] [learning, small, proposed, constraint, performance, mit, point, mnist]
Learning to Align from Scratch
Gary Huang, Marwan Mattar, Honglak Lee, Erik Learned-Miller
Gary Huang, Marwan Mattar, Honglak Lee, Erik Learned-Miller
[set, algorithm] [belief, based] [distribution, hidden, topology, joint, number, model, will, form, gaussian] [alignment, deep, congealing, image, accuracy, pooling, layer, face, feature, unsupervised, cdbn, location, convolutional, visible, training, representation, produced, crbm, object, aligned, learn, figure, sift, learned, lfw, trained, work, pixel, multiple, local, higher, recognition, apply, view, commercial, applied, iteratively, unlabeled, transformation] [sparsity, sparse, entropy, method, achieve, optimization, procedure, penalty] [group, unit, topographic, natural, coding, amount, neural] [learning, data, supervised, original, linear, similarity, regularization, binary, performance, large, shared, labeled, proposed, clustering, test]
Newton-Like Methods for Sparse Inverse Covariance Estimation
Peder Olsen, Figen Oztoprak, Jorge Nocedal, Steven Rennie
Peder Olsen, Figen Oztoprak, Jorge Nocedal, Steven Rennie
[algorithm, set, active, minimizes, piecewise, consider, iter, minimum, paper, note, minimizing] [search, current, function, cost, approach, approximate, choice, computes] [model, described, compute, likelihood, conjugate, will, gaussian, computational] [face, second] [method, covariance, sparse, orthant, problem, inverse, quadratic, matrix, iteration, newton, free, pkf, fista, estimation, descent, alm, gradient, coordinate, reduced, step, solution, minimizer, iterate, quic, smooth, subgradient, hessian, journal, norm, alternating, matlab, thresholding, solving, iterative, optimization, numerical, objective, pij, shrinkage, condition, hkf, denotes, inexact] [direction, phase, implementation, implemented, memory, time, limited, presented] [selection, table, small, approximation, projected]
Clustering Aggregation as Maximum-Weight Independent Set
Nan Li, Longin Jan Latecki
Nan Li, Longin Jan Latecki
[algorithm, set, subset, best, vertex, order, instance, measure, variant] [optimal, approach, good, aggregation, based, search, formulated, international, conference, average, heuristic, aggregated] [number, cluster, parameter, partition, linkage, form, will] [multiple, object, local, single, combine, evaluate, bad, three, internal, work, maximal] [underlying, independent, problem, consensus, graph, neighborhood, achieve, solution, corresponding, robust, method, require, close, union, aij] [input, simulated, desired, complete, tuning] [clustering, data, mwis, special, dataset, distinct, silhouette, performance, attributed, large, superior, candidate, advantage, small, annealing, quality, moderate, partitioning, cij, challenging, better, tth]
Unsupervised Structure Discovery for Semantic Analysis of Audio
Sourish Chaudhuri, Bhiksha Raj
Sourish Chaudhuri, Bhiksha Raj
[set, sequence, length, algorithm, best, lower, refer, true, example] [based, expected, deeper] [event, model, distribution, hierarchical, word, generative, observed, parameter, structure, generate, latent, process, language, will, token, number, emission] [audio, acoustic, semantic, figure, aud, unsupervised, auds, layer, multimedia, learn, feature, retrieval, second, level, learned, ieee, expect, semantically, automatically, segmentation, work, correspond, training, semantics, detection, lexicon, characterize, human, acoustically, directly, clear, experiment, local] [analysis, automaton, estimate, stream, random] [framework, sound, unit, represent, equation, represents, system] [data, learning, table, performance, text]
A Marginalized Particle Gaussian Process Regression
Yali Wang, Brahim Chaib-draa
Yali Wang, Brahim Chaib-draa
[online, set, comparison, order, interval] [function, state, temperature, observation, average, current, dashed] [gaussian, number, particle, bayesian, process, kalman, distribution, model, hyperparameters, computational, hidden, posterior, compute, monte, carlo, hyperparameter, marginal, will, inference, log] [training, figure, second, randomly, experiment, recursive, learned, learn, local, popular, spatial] [estimation, running, covariance, sparse, method, matrix, estimate, iteration, convergence, solved, estimated] [mpgp, mnlp, nmse, marginalized, time, kfgp, ftc, input, equation, longitude, kse, latitude, spgp, load, nonstationary, noise, prediction, framework, surface, output] [data, test, vector, performance, small, better, space, regression, learning, row, table, technique, large, tth, linear, synthetic]
Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik
Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik
[algorithm, vertex, bound, note, upper, lemma, lower, set] [max, function, cumulative, search, average] [distribution, number, will, log] [angle, image, precision, landmark, recall, semantic, feature, figure, rotation, retrieval, sum, learned, learn, global] [method, objective, arg, matrix, corresponding, optimization, scaled, problem, propose, random, sparse, orthant] [unit, coding, weight, time, computation] [binary, data, quantization, vector, aqbc, similarity, cosine, code, sorted, itq, hamming, lsh, linear, sklsh, sph, proposed, hashing, point, projection, angular, learning, text, nearest, distance, smallest, euclidean, technique, large, hypercube, supervised, dataset, original, advantage]
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov
Andrew Delong, Olga Veksler, Anton Osokin, Yuri Boykov
[svc, submodular, energy, instance, uki, covering, uji, minimizing, minimize, algorithm, xqj, pairwise, facility, xpj, case, denote, minimum, mplp, theorem, equivalent, bipartite, qpbo, feasible, labeling, order, set, written, lower, inimize, icm, write] [conference, function, standard, approach, international, optimal] [will, inference, hierarchical, number, form, construction, assignment] [computer, vanishing, ieee, pattern, fusion, transformation, vision, applied, figure, subject, image, transform] [problem, graph, objective, minimization, proposition, edge, clique, unique, denotes, random, sparse, journal] [optimized] [binary, candidate, clustering, fast, better, machine, original, special, reduction, constraint, synthetic, point]
Multiplicative Forests for Continuous-Time Processes
Jeremy Weiss, Sriraam Natarajan, David Page
Jeremy Weiss, Sriraam Natarajan, David Page
[set, true, change, example, risk, provide, introduce, series, exponentially, setting, denote] [state, transition, continuous, trajectory, third, average, function] [model, intensity, likelihood, number, ctbns, log, tree, variable, ctbn, joint, partition, bayesian, mfctbns, mfctbn, will, structure, inference, parameter, conditional, node, factor, exponential, split, supplementary, transitioning, cit, normal, treectbns, distribution] [forest, figure, product, work, learn, training, leaf, truth, second, composed, three] [rate, assumption, size] [time, multiplicative, false, health, framework] [learning, data, regression, space]
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task
Jenna Wiens, John Guttag, Eric Horvitz
Jenna Wiens, John Guttag, Eric Horvitz
[risk, patient, diff, day, consider, series, admission, daily, hospital, clostridium, set, hospitalized, infection, quintile, extracting, best, literature, fraction, minimum, measure, length, probability] [based, current, approach, state, approximate, average, observation, explore, longest] [model, process, hidden, described, markov, associated, number, warping, hmms, typically] [feature, figure, training, temporal, learn, classify, identify, previous, learned, apply, classifying, extract, extracted] [positive, problem, high] [time, negative, clinical, reported, lead, prediction] [test, data, distance, performance, auc, table, predicting, svm, vector, task, similarity, better, combination, learning, well, large, linear, kernel]
"Nystr{\""o}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison"
Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
[theorem, bound, generalization, note, empirical, order, probability, result, denote, set, gap, square, follow, risk, uniform, discussion] [approximate, based, sampled, additional, optimal, function, max] [number, distribution, computational, dependent, full, sampling] [training, figure, randomly, representation, top, evaluate, train, learn, forest] [random, method, matrix, rank, solution, spectral, theoretical, min, analysis, eigenvector, independent, leading, proposition, norm, high, solving] [basis, difference, framework, prediction] [kernel, fourier, data, error, learning, performance, machine, large, linear, vector, approximation, nystrom, space, improved, functional, better, eigenvectors, synthetic, verify, eigengap, caused, regression, eigenfunctions, approximating]
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-Ling Loh, Martin Wainwright
Po-Ling Loh, Martin Wainwright
[corollary, set, theorem, consider, case, example, main, result, statistical, probability, note, consistency, algorithm] [function, based] [discrete, structure, model, gaussian, log, ising, singleton, exponential, sample, tree, will, form, associated, university] [figure, maximal, indicator, corresponds, success, applied, work] [covariance, graphical, matrix, graph, inverse, edge, generalized, panel, corresponding, augmented, separator, random, estimation, lasso, block, program, estimate, method, triangulation, usual, estimator, dinosaur, family, junction, clique, support, journal, general, condition, multivariate, theoretical, relationship, rho, analysis, loh, mutual, establish] [corrupted] [missing, data, learning, binary, vector, selection, machine, factorization]
Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Jose Miguel Hernandez-Lobato, Ferenc Huszar, Zoubin Ghahramani
Neil Houlsby, Jose Miguel Hernandez-Lobato, Ferenc Huszar, Zoubin Ghahramani
[active, sushi, term, pairwise, assume, case] [preference, function, approximate, approach, cost, based, strategy, expectation, uncertainty, evaluated] [model, latent, gaussian, prior, posterior, number, supplementary, distribution, inference, election, pair, sampling, likelihood, variational, bayesian, maximum, num, process, gps, propagation, described, generated] [feature, cpu, second, training, region] [method, covariance, matrix, problem, entropy, corresponding, random] [neural, represents, processing] [user, learning, data, binary, item, kernel, bald, proposed, synthetic, approximation, row, vector, error, test, collaborative, shared, jura, table, performance, large, combination, kusers, point, column, movielens, variance, dataset, datasets]
Bayesian nonparametric models for bipartite graphs
Francois Caron
Francois Caron
[bipartite, set, consider, measure, case, probability, derive, assume, note, drawn, board, volume, measurable, example, provide] [total, based, introduction] [model, degree, process, distribution, uij, reader, latent, will, gamma, ggp, poisson, number, generative, exp, book, conditional, supplementary, nonparametric, bayesian, sample, parameter, buffet, beta, indian, gibbs, sampler, prior, social, vij, intensity, posterior, update, represented, collection, completely, log, factor, crm, conditionally, sitting, forum, ibp] [figure, downloaded, capture] [random, stable, graph, positive, independent, proposition] [network, read, behavior] [data, zij, dataset, binary, test, point, better, table, proposed]
Tractable Objectives for Robust Policy Optimization
Katherine Chen, Michael Bowling
Katherine Chen, Michael Bowling
[measure, set, probability, regret, theorem, risk, chosen, polynomial, algorithm, order, introduce, arbitrary, consider, uniform] [percentile, policy, uncertainty, mdp, mdps, optimal, reward, transition, game, decision, player, approach, strategy, expected, michael, maximizes, state, sampled, function, imperfect, uncertain, nash, current, optimizing, horizon, utility, focus, shie, cumulative, equilibrium, conference, choice] [parameter, distribution, markov, will, number, form, sampling, bayesian, markovian, tractable] [figure, single] [optimization, robust, density, family, general, objective, random, size, minimization, robustness, estimated, supplemental] [time, treatment, weight, clinical] [performance, learning, approximation, well, small]
Reducing statistical time-series problems to binary classification
Daniil Ryabko, Jeremie MARY
Daniil Ryabko, Jeremie MARY
[theorem, ergodic, probability, homogeneity, consistent, series, telescope, mixing, asymptotically, case, empirical, statistical, set, testing, algorithm, lemma, consistency, easy, statement, sequence, called, consider, strict, property, setting, assume, consistently, chose, tssvm, summands, length, assign, note, considered, stronger, fact] [stationary, based, approach, choice, generating] [distribution, generated, will, number, separation, marginal, process, sample] [target, indicator, work, three, ieee, unsupervised] [problem, general, convergence, theoretical, solving, estimate, random, method, satisfy, assumption] [time, speed, natural] [distance, clustering, binary, error, data, dimension, space, performance, point, learning, test, metric, construct, well]
Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu, Chenlei Leng
Kenji Fukumizu, Chenlei Leng
[assume, theorem, consistency, consider, set, call, probability, note, regressor, property, applicable] [based, approach, parametric, choice] [variable, model, conditional, number, parameter, distribution, royal, nonparametric, gaussian] [feature, accuracy] [method, gkdr, cxx, matrix, kdr, strong, gradient, sparse, extraction, estimated, positive, estimator, edr, estimation, dimensional, sir, high, propose, cxy, lasso, theoretical, estimate, rate, subspace, covariance, iade, inverse, ntest] [multiplicative, effective, noise, nonlinear] [kernel, data, dimension, regression, linear, selection, reduction, space, proposed, dimensionality, knn, table, existing, eigenvectors, supervised, vector, projection, sparseness, hilbert, operator, regularization, synthetic, large, reproducing, choosing, svm, small, eigenproblem]
Towards a learning-theoretic analysis of spike-timing dependent plasticity
David Balduzzi, Michel Besserve
David Balduzzi, Michel Besserve
[theorem, classical, margin, term, online, loss, bound, remark, introduce, denote, setting, perceptron, maximizing] [reward, function, expected, provided] [dependent, model, bernoulli, update, analytically, tractable] [pattern, accuracy, improves, global, sum, weak] [regularized, constant, optimization, analysis, problem, net, theoretical] [synaptic, selectron, stdp, neural, spike, plasticity, time, neuron, input, rule, neuromodulatory, frequency, neuronal, output, spiking, phase, cortical, sleep, bias, tononi, limit, wjk, motivated, synapse, capacity, selectrons, processing, evidence, balduzzi, suggests, encode, leaky, feedback, cirelli, maximization, analog, arises, contribution] [learning, constraint, fast, error, boosting, large, regularization]
Kernel Hyperalignment
Alexander Lorbert, Peter Ramadge
Alexander Lorbert, Peter Ramadge
[set, lemma, class, algorithm, consider, minimize, assume, smaller, pairwise] [foreach, current, approach, focus, round, based, max, loo] [number, correspondence, sample, initialize, allows, university, gaussian] [alignment, feature, subject, voxel, accuracy, voxels, entire, aligned, temporal, canonical, include, experiment, figure, single, spatial, svd, global, training, multiple] [matrix, problem, regularized, positive, analysis, solution, arg, block, correlation, solving, support, type, min] [input, nonlinear, cortex, represents] [kernel, hyperalignment, data, linear, orthogonal, procrustes, anatomical, space, large, trs, original, fmri, common, centroid, ventral, address, datasets, row, vector, representer, bsc, movie, identity, constraint, multiplication, machine]
Bayesian Warped Gaussian Processes
Miguel Lázaro-Gredilla
Miguel Lázaro-Gredilla
[setting, set, order, bound, lower, note, wrt, probability, exactly] [function, standard, approximate, parametric, additional, good, average, international] [warping, model, bwgp, gaussian, variational, posterior, wgp, likelihood, log, latent, cvv, maximum, warped, creep, number, bayesian, process, abalone, prior, will, inducing, nlpd, hyperparameters, analytically, inference, gps, exp, censored] [training, work, corresponds] [covariance, mse, inverse, exact, free, discussed] [output, noise, processing, neural, nonlinear, displayed, computed, computation] [data, regression, better, performance, machine, space, learning, tanh, table, approximation, selection, mit, mentioned, ordinal, well]
Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton, John Lafferty
Rina Foygel, Michael Horrell, Mathias Drton, John Lafferty
[risk, case, set, consider, algorithm, version, fact, empirical, setting, denote, assume, excess, write, paper, statistical, note] [function, stationary, gold] [sample, nonparametric, model, expression, form, parameter, compute, component, university] [figure, second, map, remaining] [rank, matrix, penalty, norm, low, nuclear, reduced, singular, subdifferential, multivariate, gene, covariance, scaling, size, sparse, estimated, positive, estimate, constrained, estimation, optimization, suppose, proposition, spectral, penalized, high, propose, denotes, illustrate, objective, random, procedure, analysis, univariate, regularized] [additive, population, response, network, tuning] [regression, linear, regularization, data, functional, row, vector, orthogonal, proposed, column, special, common, well]
Bayesian models for Large-scale Hierarchical Classification
Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
[class, set, logistic, partial, setting, empirical, bayes, instance, note, best, consider, consistently, path, msvm, order] [hierarchy, approach, approximate, faster, updated] [hierarchical, variational, model, inference, posterior, prior, bayesian, parent, node, number, corrmnl, hblr, gaussian, distribution, full, scalable, observed, parameter, rest, clef, joint] [map, training, multiple, single, compared, learn, leaf, leverage, higher, level, handle] [covariance, method, matrix, problem, optimization] [framework, implementation, fisher, time] [large, performance, proposed, dataset, data, better, vector, parallel, regression, well, binary, variance, learning, table, test, approximation, improving]
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Schölkopf
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Schölkopf
[probability, class, theorem, set, risk, consider, measure, loss, example, polynomial, case, empirical, equivalence, lemma, paper, statistical, choose, note] [function, standard, expected, based, international, continuous] [gaussian, parameter, distribution, degree, sample, probabilistic, computational, number, allows, collection] [training, figure, map, image, trained, product, local, feature, scene, second, representation] [support, positive, journal, covariance, problem] [nonlinear, input, natural, represent, framework, difference, processing] [kernel, svm, learning, rbf, smm, embedding, data, space, virtual, linear, functional, digit, machine, asvm, proposed, regularization, performance, hilbert, synthetic, vector, representer, reproducing, table, dataset, rkhs, special]
Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen, Michael Mahoney
Toke Hansen, Michael Mahoney
[set, algorithm, consider, main, note, denote, case, order, def, transductive, provide, class, ranking, minimize] [based, conference, approach, international, good] [will, parameter, form, compute, degree, computing, social] [global, figure, local, perform, computer, work, training, region, iteratively, target, indicator, capture] [graph, solution, optimization, eigenvector, correlation, problem, matrix, spectral, leading, analysis, illustrate, random, method, eigenvalue, technical, normalized, generalized, corresponding, general, usual, subspace] [nontrivial, input, wide, natural, computed] [eigenvectors, data, seed, vector, pectral, ocal, learning, machine, laplacian, eneralized, linear, constraint, orthogonal, large, sgt, smallest, error, small, lobal, construct, subsequent, locality, mnist, annual, equal]
Locally Uniform Comparison Image Descriptor
Andrew Ziegler, Eric Christiansen, David Kriegman, Serge Belongie
Andrew Ziegler, Eric Christiansen, David Kriegman, Serge Belongie
[order, set, comparison, pairwise, measure, path, provide, dag] [based, sensitive, explore, correct, approach] [intensity, number, sampling, pair, will, construction, gaussian, compute] [image, lucid, descriptor, pixel, feature, patch, recognition, surf, computer, sift, figure, work, pattern, local, simple, vectorized, blur, keypoints, bhat, vision, matching, second, calonder, skd, representation, mobile, three, fkd, rgb, june, maximal] [tau, method, robust, random, rank, dimensional, stable, generalized, sparse] [time, impulse, description, noise, visual, light, presented] [distance, hamming, permutation, binary, cayley, performance, linear, ordinal, well, fast, lsh, large, table, performs, metric, dimensionality]
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
[algorithm, order, statistical, note, set, consider, transaction, choose, term, online, day, paper] [based, temperature, approach, initial, qqq, behaviour, provided] [factor, model, dependent, modeling, compute] [tracking, ieee, recursive, representation, track, mode] [matrix, estimate, gradient, rate, weighted, journal, method, generalized] [forgetting, electricity, load, additive, adaptive, smoothing, forecasting, spline, fac, forge, time, covariates, stability, lyapunov, penalizer, hod, strength, basis, priori, power, france, gor, adap, fan, varying, mape, pena, reng, zer, neural, erms, transfer, represent, edf, french, intercept, cloud] [learning, data, performance, vector, linear, equal, error, proposed, rmse]
Discriminative Learning of Sum-Product Networks
Robert Gens, Pedro Domingos
Robert Gens, Pedro Domingos
[hard, set, algorithm, partial, best, polynomial, setting, respect, path] [conference, grid, evaluation, state, approximate, function] [inference, node, log, variable, generative, conditional, marginal, number, will, form, likelihood, model, hidden, probabilistic, allows, partition, bayesian, treewidth, valid, structure] [spn, sum, training, discriminative, spns, image, deep, product, learned, accuracy, indicator, architecture, coates, child, poon, pooling, feature, discriminatively, figure, pixel, learn, root, unsupervised, learns, forall, mpn, scope, train] [gradient, mpe, dictionary, descent, method, size] [network, weight, neural, evidence, processing, represent] [learning, test, linear, vector, table]
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Weiwei Cheng, Eyke Huellermeier, Willem Waegeman, Volkmar Welker
Weiwei Cheng, Eyke Huellermeier, Willem Waegeman, Volkmar Welker
[partial, order, set, ranking, label, probability, pairwise, theorem, dyck, strict, lemma, completeness, precedes, interval, induced, correctness, class, ranker, path, implies, main, derived, abstention, mathematical, increasing, abstaining, proof, reject, instance, sense, transposition, proper, expressivity, assume, qvm, contained, bijection, result, note] [preference, approach, based, total, idea, decision, standard, context] [model, relation, probabilistic, number, distribution, form, transitivity, associated, mutually, parameter] [second, work, simple, center, produced, maximal, commonly] [rank, thresholding, stochastic, method, theoretical, strong, kendall, size, type, matrix] [threshold, prediction, predict, predicted, direct] [learning, distance, data, machine, linear, space, point]
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds
Teodor Mihai Moldovan, Pieter Abbeel
Teodor Mihai Moldovan, Pieter Abbeel
[risk, algorithm, probability, theorem, lower, set, property, complexity, origin, consider, upper, setting, assume, main, bound, case, classical] [chernoff, decision, optimizing, minus, state, cost, utility, function, total, planning, return, expected, percentile, airport, minmax, optimal, expectation, destination, travel, policy, approach, mdp, dfw, cumulant, standard, transition, generating, bqn, action, control, route, intuition, shv, mco] [exponential, markov, will, number, log, tend] [figure, precision, level, berkeley, randomly, corresponds] [optimization, objective, problem, method, random, min, family, close, corresponding, propose] [time, connection, computed] [proposed, functional, variance, optimize, large, approximation, space]
Scalable Inference of Overlapping Communities
Prem Gopalan, David Mimno, Sean Gerrish, Michael Freedman, David Blei
Prem Gopalan, David Mimno, Sean Gerrish, Michael Freedman, David Blei
[algorithm, set, true, measure, best, statistical, call] [sampled, based, faster, benchmark] [node, community, pair, variational, inference, link, number, sampling, mmsb, posterior, overlapping, log, distribution, scalable, model, likelihood, subsampling, sample, observed, perplexity, compute, latent, allows, blockmodel, stratified, will, collab, poisson, social, interaction, elbo, modeling, associated, yab, develop, draw, structure, full] [global, local, figure, noisy, accuracy, detection, training] [stochastic, random, gradient, convergence, batch, method, iteration, step, estimate, solution, clique, dense] [network, natural, time, physical, study] [large, validation, data, better, equal, review, test]
Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville
Shiva Prasad Kasiviswanathan, Huahua Wang, Arindam Banerjee, Prem Melville
[online, algorithm, regret, set, version, true, assume, consider, paper, sequence, design, introduce] [approach, based, function, standard, choice, evaluation] [document, full, number, topic, represented, social, breaking] [detection, figure, produced, representation, ieee, detecting, detect] [dictionary, novel, sparse, batch, timestep, problem, reconstruction, matrix, running, size, min, sublinear, positive, rate, optimization, convex, alternating, application, oiadmm, objective, step, method, arriving, sre, solving, computationally, axt, condition, admm, plot] [time, coding, represent, twitter, false, making, wang, implementation] [learning, error, data, linear, performance, column, auc, table, machine, better, text, vector, combination]
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, luca Maria Gambardella, Juergen Schmidhuber
Dan Ciresan, Alessandro Giusti, luca Maria Gambardella, Juergen Schmidhuber
[probability, square, main, rgen, testing] [approach, conference, automated, international, max, computes, function] [fully, compute, warping, sampling, document, slice] [segmentation, image, pixel, convolutional, training, window, figure, isbi, stack, dnn, ground, trained, rand, pattern, layer, computer, deep, applied, human, nonuniform, feature, raw, dan, ieee, pooling, foveation, recognition, second, claudiu, luca, truth, vision, directly, idsia, competing, handwritten, sstem, ueli] [averaging, size, analysis] [network, neural, input, membrane, neuron, neuronal, connected, output, visual, activation, lugano, implementation, computed] [error, performance, large, learning, binary, code, table, data]
A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira, Matthew Botvinick
Francisco Pereira, Matthew Botvinick
[example, statistical, class, order, set, covering, result, consider, series, pairwise, measure] [grid, average, goal, based, approach] [number, will, cluster, pair, discovery, described, construction] [pattern, voxels, searchlight, figure, voxel, impact, image, accuracy, feature, category, distinguished, experiment, body, training, map, yielding, performed, adjacent, tool, multiple, object, baseline, building, svd] [method, corresponding, singular, analysis, matrix, high] [brain, activation, time, participant, stimulus, prediction, group, experimental] [binary, data, vector, functional, task, informative, common, dataset, small, linear, better]
Learning with Recursive Perceptual Representations
Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell
Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell
[class, set, generalization, note, lemma, consistent, complexity, order, lower, pipeline, example, proof] [based, function] [model, number, sample, parameter, hidden, will] [training, feature, stacking, deep, layer, recursive, speech, codebook, vision, svms, previous, figure, architecture, accuracy, stacked, simple, work, recognition, image, building, complex, representation, object, improvement, dcn, second, learned, hyperplane] [random, method, size, sparse, convex, achieve, matrix, high, require, optimization, support, involves, simplicity] [coding, input, output, prediction, neural] [linear, svm, data, learning, projection, better, performance, proposed, original, kernel, rbf, dimensionality, vector, well, space, table, concatenation, large, technique]
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stephane Gaiffas, Nicolas Vayatis
Emile Richard, Stephane Gaiffas, Nicolas Vayatis
[oracle, theorem, introduce, sequence, inf, algorithm, consider, minimizing, empirical, assume, prove, main, term, probability, set, result, introduced, upper] [approach, cone, choice, international, conference] [link, log, number, joint, social, model, structure] [feature, map, sum, product, multiple, level] [matrix, graph, autoregressive, sparsity, rank, procedure, sparse, adjacency, estimation, problem, assumption, theoretical, singular, norm, propose, generalized, objective, penalized, estimating, close, general, optimization, regularized] [prediction, noise, static, time, processing, neural, smoothing, predict, phase] [linear, operator, error, regression, vector, space, learning, data, performance, predicting, collaborative, small]
Putting Bayes to sleep
Wouter Koolen, Dmitry Adamskiy, Manfred Warmuth
Wouter Koolen, Dmitry Adamskiy, Manfred Warmuth
[regret, bayes, algorithm, theorem, mixing, set, mpp, subset, online, awake, predt, specialist, multitask, induction, loss, bound, comparator, circadian, outcome, case, consider, asleep, segment, sequence, design, uniform, guarantee, best, prove, main, wouter, fixed, sleeping, manfred] [goal, good, transition, sequential, expert, initial, current] [model, bayesian, prior, partition, number, update, base, distribution, posterior, markov, will, predictive, full, joint, chain] [previous, apply] [method, sparse, problem, composite, achieve, close] [prediction, time, predict, nature, interpretation, predicts, predicted, ftk, natural, practice, issue] [learning, task, small, data, well, predictor, large, machine, equal, bit, choosing]
Imitation Learning by Coaching
He He, Hal Daume III, Jason Eisner
He He, Hal Daume III, Jason Eisner
[loss, oracle, learner, theorem, online, set, bound, regret, algorithm, lower, denote, surrogate, assume, best, consider, hard, respect, case, bounded, upper, example, subset, instance, prove, minimum, induced, result, sequence, drmn] [policy, action, coaching, state, dagger, imitation, approach, max, coach, cost, executing, function, current, goal, average, hope, optimal, good, reward, gradually, easier, sequential, expected] [log, model] [feature, training, accuracy, learned, learn, previous, structured, higher, score] [min, iteration, arg, convex, achieves, problem, achieve] [dynamic, time, direct, collect] [learning, space, task, selection, small, performance, dataset, vector, supervised, digit, machine, reduction, error]
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
Emtiyaz Khan, Shakir Mohamed, Kevin Murphy
Emtiyaz Khan, Shakir Mohamed, Kevin Murphy
[algorithm, bound, lower, respect, consider, term, piecewise, complexity, derive, note, fact, depends, case, element, set] [function, approach, approximate, expectation, cost, observation] [variational, gaussian, inference, number, process, likelihood, distribution, bayesian, log, posterior, update, will, marginal, latent, logit, form, prior, concavity, opper, reparameterization, multinomial, archambeau, derivation, model, vold, computational, maximum] [second] [concave, covariance, method, convergence, objective, diagonal, positive, matrix, vnn, optimization, problem, scalar, graphical, vnew, jointly, gradient] [categorical] [binary, data, regression, proposed, existing, fast, machine, vector, learning, table, linear, point, ordinal]
Meta-Gaussian Information Bottleneck
Melanie Rey, Volker Roth
Melanie Rey, Volker Roth
[case, relevance, set, arbitrary, implies, empirical, consider] [optimal, continuous, function, science, observation] [gaussian, distribution, log, joint, marginal, normal, structure, sample, conditional, component, university, beta, variable, parameter] [figure, representation, transformation, applied, target] [copula, matrix, compression, problem, correlation, density, multivariate, solution, mgib, gib, random, dependence, mutual, rank, analytical, covariance, bottleneck, jointly, min, estimation, proposition, cxt, cxy, univariate, entropy, parametrizing, estimate, dkl, corresponding, method, denotes, reformulation, pca, robust, minimization, practical, formulation, estimated, high, assumption, generalized] [equation, determined, negative] [data, projection, vector, dimension, construct, eigenvectors, row, selected]
Repulsive Mixtures
FRANCESCA PETRALIA, Vinayak Rao, David Dunson
FRANCESCA PETRALIA, Vinayak Rao, David Dunson
[lemma, theorem, chosen, true, statistical, probability, upper, pairwise, bound, satisfying, algorithm, class, assume] [located, function, standard] [repulsive, mixture, prior, number, posterior, bayesian, extra, separated, will, separation, model, dirichlet, repulsion, component, sample, chain, parameter, gaussian, sampling, assigned, alternative, monte, discrete, markov, carlo, redundant, referred, favor, gibbs] [location, figure, three, sum, unsupervised, level, considering, scale] [density, close, rate, propose, condition, journal, convergence, constant, positive, low, multivariate, analysis, support] [lead, depending] [proposed, well, data, point, synthetic, performance, distance, small, learning, error, kernel, relative, metric, smoothly, table, clustering]
Fully Bayesian inference for neural models with negative-binomial spiking
Jonathan Pillow, James Scott
Jonathan Pillow, James Scott
[algorithm, statistical, online, logistic] [approach, based, current, standard, updated, international] [latent, model, poisson, factor, bayesian, posterior, inference, distribution, log, gaussian, likelihood, conditional, fully, prior, parameter, gibbs, conditionally, primate, sampling, form, structure, conjugate, mixture, described, binomial, count, variable, university, compute, will, computational, autocorrelation, full] [figure, representation, shape, second, work, ieee] [correlation, journal, random, rate, denotes, suppose, underlying, estimated, method, high, estimate, graphical, analysis, versus] [spike, neural, dynamic, retinal, james, simulated, negative, actual, texas, neuron, spiking] [data, regression, linear, variance, learning, vector, machine, well]
Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz, Daniel Stefankovic
Tivadar Papai, Henry Kautz, Daniel Stefankovic
[probability, length, algorithm, online, set, case, hard, sequence] [people, sequential, mar, transition, knowledge, function, based, conference, approximate, belief, mrf, intelligence, observable, heuristic, deterministic, cost] [markov, logic, model, crf, inference, conditional, slice, hidden, chain, distribution, number, sampling, probabilistic, smoking, will, unrolled, partition, unrolling, marginals, particle, marginal, ntr, base, hang, directed, undirected, unr, predicate, compactly, mlns, grounding, prt, normalization, performing, dmlns] [training, ground, truth, accuracy, trained, product] [random, weighted, step, practical, graphical, theoretical, normalized, gradient, general, graph] [time, dynamic, weight, network, represent, demonstrated] [data, learning, test, performance, proposed, large]
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel Braun
Pedro Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel Braun
[maximizing, institute, intelligent, set, consider, statistical, chosen, probability, hypothesis, argument, theorem, assume, regret] [function, max, optimal, choice, observation, inside, control, goal, unknown, gramian, based] [prior, model, posterior, likelihood, bayesian, gaussian, planck, number, exp, distribution, inference, parameter, conjugate, maximum, sampling, process, modeling, will, university, normalizing] [precision, figure, noisy, corresponds, location, global, directly, higher, previous] [estimate, optimization, stochastic, method, problem, density, constant, application, neighborhood, panel, objective, close, estimated, propose] [direct, input, width, illustrates, effective] [test, kernel, data, point, space, proposed, distinct, cybernetics, equal, indirect, ratio]