Tyler Chen

Postdoc, New York University

1 paper at NeurIPS 2025

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Poster Session 3

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values

#1107 · Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar

We present a unified framework of provably efficient randomized estimators for Shapley values. We also provide, for the first time to our knowledge, provable guarantees for KernelSHAP, the most popular Shapley value method.