Towards Efficient Data Valuation Based on the Shapley Value (AISTATS 2019)

• Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
• [Paper]

Data Shapley: Equitable Valuation of Data for Machine Learning (ICML 2019)

• Amirata Ghorbani, James Y. Zou
• [Paper]
• [Code]

Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)

• Yongchan Kwon, Manuel A. Rivas, James Zou
• [Paper]
• [Code]  

Explanations for Data Repair Through Shapley Values (CIKM 2021)

• Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer
• [Paper]
• [Code]  

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022)

• Yongchan Kwon, James Zou
• [Paper]
• [Code]

Differentially Private Shapley Values for Data Evaluation (Arxiv 2022)

• Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar
• [Paper]