One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

31 October 2024

Papers citing "One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently"

10 / 10 papers shown

Title
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values Yurong Liu R. Teal Witter Flip Korn Tarfah Alrashed Dimitris Paparas Christopher Musco Juliana Freire FAtt 107 0 0 10 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 81 4 0 02 Oct 2024
A Note on "Towards Efficient Data Valuation Based on the Shapley Value'' Jiachen T. Wang R. Jia TDI 34 11 0 22 Feb 2023
Approximating the Shapley Value without Marginal Contributions Patrick Kolpaczki Viktor Bengs Maximilian Muschalik Eyke Hüllermeier FAtt TDI 85 25 0 01 Feb 2023
Understanding Influence Functions and Datamodels via Harmonic Analysis Nikunj Saunshi Arushi Gupta M. Braverman Sanjeev Arora TDI 78 18 0 03 Oct 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 75 210 0 11 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 105 139 0 01 Feb 2022
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 67 127 0 26 Oct 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression Ian Covert Su-In Lee FAtt 54 170 0 02 Dec 2020
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 889 21,815 0 22 May 2017