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Lee, Chung-Wei

  1. A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
    2019/02/03 by Chen, Yifang, Lee, Chung-Wei, Luo, Haipeng +1 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games
    2022/04/25 by Anagnostides, Ioannis, Farina, Gabriele, Kroer, Christian +3 · 6 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
    2021/02/11 by Chung‐Wei Lee, Lee, Chung-Wei, Haipeng Luo +7 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  4. Regret Matching+: (In)Stability and Fast Convergence in Games
    2023/05/24 by Gabriele Farina, Farina, Gabriele, Julien Grand-Clément +7 · 5 citations
    Decision Sciences · Physics and Astronomy · Computer Science · #Advanced Bandit Algorithms Research #Quantum many-body systems #Stochastic Gradient Optimization Techniques
  5. Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
    2023/11/01 by Cai, Yang, Farina, Gabriele, Grand-Clément, Julien +4 · 6 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Near-Optimal No-Regret Learning Dynamics for General Convex Games
    2022/06/17 by Gabriele Farina, Farina, Gabriele, Ioannis Anagnostides +9 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  7. Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
    2021/02/08 by Chen-Yu Wei, Chung‐Wei Lee, Wei, Chen-Yu +5 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  8. Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
    2020/06/14 by Chung‐Wei Lee, Lee, Chung-Wei, Haipeng Luo +5 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  9. Last-iterate Convergence in Extensive-Form Games
    2021/06/27 by Lee, Chung-Wei, Kroer, Christian, Luo, Haipeng · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
    2021/07/18 by Haipeng Luo, Luo, Haipeng, Chen-Yu Wei +3 · 4 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning
  11. Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
    2024/06/15 by Yang Cai, Gabriele Farina, Cai, Yang +11 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  12. Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
    2022/02/01 by Gabriele Farina, Chung‐Wei Lee, Farina, Gabriele +5 · 3 citations
    Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG)
  13. Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
    2017/11/17 by Lee, Chung-Wei, Fang, Wei, Yeh, Chih-Kuan +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  14. On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
    2025/03/04 by Cai, Yang, Farina, Gabriele, Grand-Clément, Julien +4 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)