Interpretable feature subset selection: A Shapley value based approach. - Sandhya Tripathi; N. Hemachandra 001; Prashant Trivedi (IEEE BigData, 2020)

On Feature Interactions Identified by Shapley Values of Binary Classification Games. - Sandhya Tripathi; N. Hemachandra 001; Prashant Trivedi (CoRR, 2020)

Learning Noisy Hedonic Games. - Prashant Trivedi; Nandyala Hemachandra (CoRR, 2021)

Noise Robust Core-stable Coalitions of Hedonic Games. - Prashant Trivedi; Nandyala Hemachandra (ACML, 2022)

Multi-Agent congestion cost minimization with linear function approximations. - Prashant Trivedi; Nandyala Hemachandra (AISTATS, 2023)

Multi-Agent congestion cost minimization with linear function approximation. - Prashant Trivedi; Nandyala Hemachandra (CoRR, 2023)

Multi-Agent Natural Actor-Critic Reinforcement Learning Algorithms. - Prashant Trivedi; Nandyala Hemachandra (Dyn. Games Appl., 2023)

Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. - Prashant Trivedi; Souradip Chakraborty; Avinash Reddy; Vaneet Aggarwal; Amrit Singh Bedi; George K. Atia (AAAI, 2025)

Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access. - Mudit Gaur; Prashant Trivedi; Sasidhar Kunapuli; Amrit Singh Bedi; Vaneet Aggarwal (CoRR, 2025)