Weiqiang Zheng

36 papers A* 11A 2Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling. CoRR Yang Cai, Weiqiang Zheng
2026	J	`jnl`	Is Online Linear Optimization Sufficient for Strategic Robustness? CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2025	J	`jnl`	Fisher Meets Lindahl: A Unified Duality Framework for Market Equilibrium. CoRR Yixin Tao, Weiqiang Zheng
2025	J	`jnl`	From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2025	J	`jnl`	From Best Responses to Learning: Investment Efficiency in Dynamic Environment. CoRR Ce Li, Qianfan Zhang, Weiqiang Zheng
2025	A*	`conf`	Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. ICLR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2025	J	`jnl`	On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2025	J	`jnl`	Point estimation and joint confidence interval estimation of three parameters in the generalized Pareto, generalized extreme value, and generalized logistic distributions: a method based on pivotal quantities. Earth Sci. Informatics Weiqiang Zheng, Shuguang Liu, Zhengzheng Zhou
2025	J	`jnl`	Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games. CoRR Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion. ICML Yang Cai, Argyris Oikonomou, Weiqiang Zheng
2024	J	`jnl`	COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences. CoRR Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan
2024	A*	`conf`	Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. NeurIPS Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2024	J	`jnl`	Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2024	A*	`conf`	Learning Thresholds with Latent Values and Censored Feedback. ICLR Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2024	A	`conf`	Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. AISTATS Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	J	`jnl`	Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	A*	`conf`	On Tractable Φ-Equilibria in Non-Concave Games. NeurIPS Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2024	J	`jnl`	Tractable Local Equilibria in Non-Concave Games. CoRR Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2023	A*	`conf`	Accelerated Single-Call Methods for Constrained Min-Max Optimization. ICLR Yang Cai, Weiqiang Zheng
2023	A*	`conf`	Doubly Optimal No-Regret Learning in Monotone Games. ICML Yang Cai, Weiqiang Zheng
2023	J	`jnl`	Doubly Optimal No-Regret Learning in Monotone Games. CoRR Yang Cai, Weiqiang Zheng
2023	J	`jnl`	Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. CoRR Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-wei Lee, Haipeng Luo, Weiqiang Zheng
2023	J	`jnl`	Learning Thresholds with Latent Values and Censored Feedback. CoRR Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
2023	A*	`conf`	Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback. NeurIPS Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2023	J	`jnl`	Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games. CoRR Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
2022	J	`jnl`	Accelerated Algorithms for Monotone Inclusions and Constrained Nonconvex-Nonconcave Min-Max Optimization. CoRR Yang Cai, Argyris Oikonomou, Weiqiang Zheng
2022	J	`jnl`	Accelerated Single-Call Methods for Constrained Min-Max Optimization. CoRR Yang Cai, Weiqiang Zheng
2022	J	`jnl`	Beyond the Worst Case: Semi-Random Complexity Analysis of Winner Determination. CoRR Lirong Xia, Weiqiang Zheng
2022	—	`conf`	Beyond the Worst Case: Semi-random Complexity Analysis of Winner Determination. WINE Lirong Xia, Weiqiang Zheng
2022	A*	`conf`	Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games. NeurIPS Yang Cai, Argyris Oikonomou, Weiqiang Zheng
2022	A*	`conf`	Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. WWW Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
2022	A	`conf`	Revenue and User Traffic Maximization in Mobile Short-Video Advertising. AAMAS Dezhi Ran, Weiqiang Zheng, Yunqi Li, Kaigui Bian, Jie Zhang, Xiaotie Deng
2022	J	`jnl`	Tight Last-Iterate Convergence of the Extragradient Method for Constrained Monotone Variational Inequalities. CoRR Yang Cai, Argyris Oikonomou, Weiqiang Zheng
2021	J	`jnl`	Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. CoRR Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
2021	A*	`conf`	The Smoothed Complexity of Computing Kemeny and Slater Rankings. AAAI Lirong Xia, Weiqiang Zheng
2020	J	`jnl`	The Smoothed Complexity of Computing Kemeny and Slater Rankings. CoRR Lirong Xia, Weiqiang Zheng