Chung-Wei Lee
PhD Student in Computer Science at USC
Google Scholar
[email protected]
I am a fourth year PhD student in Computer Science at University of Southern California. I am very fortunate to be advised by Prof. Haipeng Luo. I received my B.S. from National Taiwan University, double majoring in Electrical Engineering and Mathematics. My research interests lie in theoretical machine learning and algorithmic game theory.
Publications
Last-iterate Convergence in Extensive-form Games
Chung-Wei Lee, Christian Kroer, Haipeng LuoConference on Neural Information Processing Systems (NeurIPS) 2021.
[arxiv]
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
Haipeng Luo, Chen-Yu Wei, Chung-Wei LeeConference on Neural Information Processing Systems (NeurIPS) 2021.
[arxiv]
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 ZhangInternational Conference on Machine Learning (ICML) 2021.
[arxiv]
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng LuoAnnual Conference on Learning Theory (COLT) 2021.
[arxiv]
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng LuoConference on Learning Representations (ICLR) 2021.
[arxiv]
Bias No More: High-probability Data-dependent Regret Bounds for Adversarial Bandits and MDPs
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao ZhangConference on Neural Information Processing Systems (NeurIPS) 2020. (Oral)
[arxiv]
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback
Chung-Wei Lee, Haipeng Luo, Mengxiao ZhangAnnual Conference on Learning Theory (COLT) 2020.
[arxiv]
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu WeiAnnual Conference on Learning Theory (COLT) 2019.
[arxiv]
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank WangIEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
[arxiv]