Cai, Yang

21 publications

NeurIPS 2025 A Unified Approach to Submodular Maximization Under Noise Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin

NeurIPS 2025 From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

ICLR 2025 Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng

COLT 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm Yang Cai, Siddharth Mitra, Xiuyuan Wang, Andre Wibisono

COLT 2025 What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract) Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis

ICML 2024 Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion Yang Cai, Argyris Oikonomou, Weiqiang Zheng

NeurIPSW 2024 COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan

NeurIPS 2024 Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng

AISTATS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

NeurIPS 2024 On Tractable $\Phi$-Equilibria in Non-Concave Games Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

NeurIPS 2024 Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang

ICMLW 2024 Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang

ICLR 2023 Accelerated Single-Call Methods for Constrained Min-Max Optimization Yang Cai, Weiqiang Zheng

ICML 2023 Doubly Optimal No-Regret Learning in Monotone Games Yang Cai, Weiqiang Zheng

ICMLW 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

NeurIPS 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

NeurIPSW 2022 Accelerated Algorithms for Monotone Inclusion and Constrained Nonconvex-Nonconcave Min-Max Optimization Yang Cai, Argyris Oikonomou, Weiqiang Zheng

NeurIPSW 2022 Accelerated Single-Call Methods for Constrained Min-Max Optimization Yang Cai, Weiqiang Zheng

NeurIPS 2022 Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games Yang Cai, Argyris Oikonomou, Weiqiang Zheng

NeurIPS 2018 Learning Safe Policies with Expert Guidance Jessie Huang, Fa Wu, Doina Precup, Yang Cai

COLT 2015 Optimum Statistical Estimation with Strategic Data Sources Yang Cai, Constantinos Daskalakis, Christos H. Papadimitriou