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Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

optimization constraints constrained-optimization constraint-programming robotics-control constraint-based-modeling safety-critical safety-critical-systems differentiable-programming non-convex-optimization safe-reinforcement-learning constrained-learning safe-control constrained-reinforcement-learning safe-planning safety-critical-learning

Updated Jul 23, 2022
Python

hiroyuki-kasai / RSOpt

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Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization

Updated Jan 5, 2023
MATLAB

mynkpl1998 / Deep-Learning-Optimization-Algorithms

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Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

deep-learning python3 pytorch adadelta optimization-algorithms convex-optimization stochastic-gradient-descent saddlepoint-approximation adamoptimizer non-convex-optimization

Updated Jun 21, 2018
Jupyter Notebook

vkumar-ucd / IRS_MIMO_UnderlaySpectrumSharing

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Simulation code for "Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface," by V. Kumar, M. F. Flanagan, R. Zhang, and L. -N. Tran, IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3180988.

signal-processing convex-optimization wireless-communication mimo cognitive-radio non-convex-optimization alternating-optimization spectrum-sharing intelligent-reflecting-surfaces gradient-projection penalty-methods

Updated Nov 1, 2023
Python

hongyanz / multibranch

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Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"

machine-learning deep-learning non-convex-optimization

Updated Jul 25, 2020
Python

KonstantinRiedl / CBOGlobalConvergenceAnalysis

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Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

machine-learning optimization illustration mnist classification global-optimization numerical-analysis metaheuristics high-dimensional non-convex-optimization derivative-free-optimization consensus-optimization

Updated Nov 13, 2023
MATLAB

vkumar-ucd / EffectiveSecrecyRate

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Simulation code for "On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel," by V. Kumar, M. F. Flanagan, D. W. Kwan Ng, and L. -N. Tran, IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685957.

signal-processing convex-optimization wireless-communication non-convex-optimization physical-layer-security alternating-optimization intelligent-reflecting-surfaces reconfigurable-intelligent-surfaces secrecy-capacity

Updated Aug 29, 2022
Python

matthieumeo / pyoneer

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Pyoneer is a Python 3 package for the continuous recovery of non-bandlimited periodic signals with finite rates of innovation (e.g. Dirac streams) from generalised measurements.

signal-processing python3 finite-rate-of-innovation periodic-signals non-uniform-sampling sampling-theory non-convex-optimization denoising-algorithm proximal-gradient-descent cpgd