Bhatt, Sujay

13 publications

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

ICLR 2025 Collab: Controlled Decoding Using Mixture of Agents for LLM Alignment Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh

AAAI 2025 Decentralized Convergence to Equilibrium Prices in Trading Networks Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, Paul W. Goldberg

AISTATS 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

NeurIPS 2025 Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt, Leo Ardon, Sumitra Ganesh, Alec Koppel

ICMLW 2024 A Policy Optimization Approach to the Solution of Unregularized Mean Field Games Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

ICML 2024 Information-Directed Pessimism for Offline Reinforcement Learning Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh

TMLR 2024 Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh

AISTATS 2023 Oracle-Free Reinforcement Learning in Mean-Field Games Along a Single Sample Path Muhammad Aneeq Uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar

AISTATS 2023 Piecewise Stationary Bandits Under Risk Criteria Sujay Bhatt, Guanhua Fang, Ping Li

ICML 2022 Minimax M-Estimation Under Adversarial Contamination Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky

ICML 2022 Nearly Optimal Catoni’s M-Estimator for Infinite Variance Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky

UAI 2022 Offline Change Detection Under Contamination Sujay Bhatt, Guanhua Fang, Ping Li