Lee, Chung-Wei

17 publications

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

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

NeurIPS 2023 Context-Lumpable Stochastic Bandits Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvari

NeurIPS 2023 Regret Matching+: (In)Stability and Fast Convergence in Games Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo

NeurIPSW 2022 Clairvoyant Regret Minimization: Equivalence with Nemirovski’s Conceptual Prox Method and Extension to General Convex Games Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo

ICML 2022 Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer

NeurIPS 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm

NeurIPS 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm

ICML 2021 Achieving near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang

NeurIPS 2021 Last-Iterate Convergence in Extensive-Form Games Chung-Wei Lee, Christian Kroer, Haipeng Luo

COLT 2021 Last-Iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-Horizon Competitive Markov Games Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo

ICLR 2021 Linear Last-Iterate Convergence in Constrained Saddle-Point Optimization Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo

NeurIPS 2021 Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses Haipeng Luo, Chen-Yu Wei, Chung-Wei Lee

COLT 2020 A Closer Look at Small-Loss Bounds for Bandits with Graph Feedback Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang

NeurIPS 2020 Bias No More: High-Probability Data-Dependent Regret Bounds for Adversarial Bandits and MDPs Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang

COLT 2019 A New Algorithm for Non-Stationary Contextual Bandits: Efficient, Optimal and Parameter-Free Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei

COLT 2019 Achieving Optimal Dynamic Regret for Non-Stationary Bandits Without Prior Information Peter Auer, Yifang Chen, Pratik Gajane, Chung-Wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei