Shouvanik Chakrabarti

Researcher, J. P. Morgan Chase and Co.

2 papers at NeurIPS 2025

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Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods

#711 · Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti

Poster Session 3

1 paper

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

Exhibit Hall C,D,E

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.