Ozdaglar, Asuman E.

20 publications

ICLR 2026 Beyond RLHF and NLHF: Population-Proportional Alignment Under an Axiomatic Framework Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo

ICLR 2026 Computing Equilibrium Beyond Unilateral Deviation Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar

ICLR 2026 Differentially Private Equilibrium Finding in Polymatrix Games Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar

ICLR 2026 Online Learning and Equilibrium Computation with Ranking Feedback Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman E. Ozdaglar, Kaiqing Zhang

ICLR 2025 A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar

ICML 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach Omar Bennouna, Jiawei Zhang, Saurabh Amin, Asuman E. Ozdaglar

ICLR 2025 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICLRW 2025 Online Learning with Ranking Feedback and an Application to Equilibrium Computation Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman E. Ozdaglar, Kaiqing Zhang

NeurIPS 2025 UFT: Unifying Supervised and Reinforcement Fine-Tuning Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar

NeurIPS 2025 What Data Enables Optimal Decisions? an Exact Characterization for Linear Optimization Omar Bennouna, Amine Bennouna, Saurabh Amin, Asuman E. Ozdaglar

ICML 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo Parrilo

ICLRW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICMLW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICMLW 2024 Do LLM Agents Have Regret? a Case Study in Online Learning and Games Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang

ICMLW 2024 RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman E. Ozdaglar

ICMLW 2024 RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman E. Ozdaglar

ICML 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar

ICML 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang

ICLR 2023 The Power of Regularization in Solving Extensive-Form Games Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang

NeurIPSW 2022 Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar