Weiqiang Zheng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Correlated Equilibrium

Learning Algorithm

Winner Determination

Top Venues

Publications

Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Tractable Local Equilibria in Non-Concave Games. CoRR (2024)
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. AISTATS (2024)
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. CoRR (2024)
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
Learning Thresholds with Latent Values and Censored Feedback. ICLR (2024)
Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. CoRR (2024)
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
Learning Thresholds with Latent Values and Censored Feedback. CoRR (2023)
Yang Cai, Weiqiang Zheng
Accelerated Single-Call Methods for Constrained Min-Max Optimization. ICLR (2023)
Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. CoRR (2023)
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games. CoRR (2023)
Yang Cai, Weiqiang Zheng
Doubly Optimal No-Regret Learning in Monotone Games. ICML (2023)
Yang Cai, Weiqiang Zheng
Doubly Optimal No-Regret Learning in Monotone Games. CoRR (2023)
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback. NeurIPS (2023)
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
Tight Last-Iterate Convergence of the Extragradient Method for Constrained Monotone Variational Inequalities. CoRR (2022)
Lirong Xia, Weiqiang Zheng
Beyond the Worst Case: Semi-Random Complexity Analysis of Winner Determination. CoRR (2022)
Yang Cai, Weiqiang Zheng
Accelerated Single-Call Methods for Constrained Min-Max Optimization. CoRR (2022)
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
Accelerated Algorithms for Monotone Inclusions and Constrained Nonconvex-Nonconcave Min-Max Optimization. CoRR (2022)
Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. WWW (2022)
Dezhi Ran, Weiqiang Zheng, Yunqi Li, Kaigui Bian, Jie Zhang, Xiaotie Deng
Revenue and User Traffic Maximization in Mobile Short-Video Advertising. AAMAS (2022)
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games. NeurIPS (2022)
Lirong Xia, Weiqiang Zheng
Beyond the Worst Case: Semi-random Complexity Analysis of Winner Determination. WINE (2022)
Lirong Xia, Weiqiang Zheng
The Smoothed Complexity of Computing Kemeny and Slater Rankings. AAAI (2021)
Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. CoRR (2021)
Lirong Xia, Weiqiang Zheng
The Smoothed Complexity of Computing Kemeny and Slater Rankings. CoRR (2020)