Weiqiang Zheng

According to our database, Weiqiang Zheng authored at least 27 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Is Online Linear Optimization Sufficient for Strategic Robustness?

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

CoRR, February, 2026

Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling.

Yang Cai, Weiqiang Zheng

CoRR, January, 2026

Fisher Meets Lindahl: A Unified Duality Framework for Market Equilibrium.

Yixin Tao, Weiqiang Zheng

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games.

Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025

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.

Weiqiang Zheng, Shuguang Liu, Zhengzheng Zhou

Earth Sci. Informatics, December, 2025

From Best Responses to Learning: Investment Efficiency in Dynamic Environment.

Ce Li, Qianfan Zhang, Weiqiang Zheng

CoRR, November, 2025

From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications.

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

CoRR, June, 2025

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games.

Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng

CoRR, March, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences.

Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan

CoRR, 2024

Tractable Local Equilibria in Non-Concave Games.

Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On Tractable Φ-Equilibria in Non-Concave Games.

Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion.

Yang Cai, Argyris Oikonomou, Weiqiang Zheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Thresholds with Latent Values and Censored Feedback.

Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games.

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games.

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

CoRR, 2023

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback.

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Optimal No-Regret Learning in Monotone Games.

Yang Cai, Weiqiang Zheng

Proceedings of the International Conference on Machine Learning, 2023

Accelerated Single-Call Methods for Constrained Min-Max Optimization.

Yang Cai, Weiqiang Zheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Accelerated Algorithms for Monotone Inclusions and Constrained Nonconvex-Nonconcave Min-Max Optimization.

Yang Cai, Argyris Oikonomou, Weiqiang Zheng

CoRR, 2022

Tight Last-Iterate Convergence of the Extragradient Method for Constrained Monotone Variational Inequalities.

Yang Cai, Argyris Oikonomou, Weiqiang Zheng

CoRR, 2022

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.

Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Beyond the Worst Case: Semi-random Complexity Analysis of Winner Determination.

Lirong Xia, Weiqiang Zheng

Proceedings of the Web and Internet Economics - 18th International Conference, 2022

Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games.

Yang Cai, Argyris Oikonomou, Weiqiang Zheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revenue and User Traffic Maximization in Mobile Short-Video Advertising.

Dezhi Ran, Weiqiang Zheng, Yunqi Li, Kaigui Bian, Jie Zhang, Xiaotie Deng

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

The Smoothed Complexity of Computing Kemeny and Slater Rankings.

Lirong Xia, Weiqiang Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021