Publications

Yang Cai, Argyris Oikonomou, Weiqiang Zheng (2024). Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion. The Forty-first International Conference on Machine Learning (ICML).

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng (2024). Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Oral Presentation.

(*) Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng (2024). Learning Thresholds with Latent Values and Censored Feedback. The Twelfth International Conference on Learning Representations (ICLR).

PDF Cite arXiv Openreview

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng (2023). Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS).

Yang Cai, Weiqiang Zheng (2023). Doubly Optimal No-Regret Learning in Monotone Games. Proceedings of the 40th International Conference on Machine Learning (ICML).

PDF Cite arXiv PMLR

Yang Cai, Weiqiang Zheng (2023). Accelerated Single-Call Methods for Constrained Min-Max Optimization. Proceedings of the 11th International Conference on Learning Representations (ICLR).

PDF Cite arXiv Openreview

Yang Cai, Argyris Oikonomou, Weiqiang Zheng (2022). Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS) Oral Presentation.

PDF Cite video openreivew

Lirong Xia, Weiqiang Zheng (2022). Beyond the Worst Case: Semi-random Complexity Analysis of Winner Determination. The 18th Conference on Web and Internet Economics (WINE).

PDF Cite arXiv DOI

Yang Cai, Argyris Oikonomou, Weiqiang Zheng (2022). Tight Last-Iterate Convergence of the Extragradient and the Optimistic Gradient Descent-Ascent Algorithm for Constrained Monotone Variational Inequalities. Preliminary Version of the NeurIPS 2022 Paper Above.

Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng (2022). Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. Proceedings of the ACM Web Conference (WWW).

PDF Cite DOI arXiv video doi

Dezhi Ran, Weiqiang Zheng, Yunqi Li, Kaigui Bian, Jie Zhang, Xiaotie Deng (2022). Revenue and User Traffic Maximization in Mobile Short-Video Advertising. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Lirong Xia, Weiqiang Zheng (2021). The Smoothed Complexity of Computing Kemeny and Slater Rankings. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).

PDF Cite arXiv video