Zhang, Mengxiao

23 publications

COLT 2025 Alternating Regret for Online Convex Optimization Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang

NeurIPS 2025 Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games Soumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang

ICML 2025 Contextual Linear Bandits with Delay as Payoff Mengxiao Zhang, Yingfei Wang, Haipeng Luo

ICML 2025 Exploiting Curvature in Online Convex Optimization with Delayed Feedback Hao Qiu, Emmanuel Esposito, Mengxiao Zhang

COLT 2024 Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang

NeurIPS 2024 Contextual Multinomial Logit Bandits with General Value Functions Mengxiao Zhang, Haipeng Luo

ICML 2024 Efficient Contextual Bandits with Uninformed Feedback Graphs Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro

NeurIPS 2024 No-Regret Learning for Fair Multi-Agent Social Welfare Optimization Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo

AISTATS 2024 Online Learning in Contextual Second-Price Pay-per-Click Auctions Mengxiao Zhang, Haipeng Luo

NeurIPS 2024 Provably Efficient Interactive-Grounded Learning with Personalized Reward Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro

ALT 2023 Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang

UAI 2023 Incentivising Diffusion While Preserving Differential Privacy Fengjuan. Jia, Mengxiao. Zhang, Jiamou. Liu, Bakh Khoussainov

AISTATS 2023 No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang

NeurIPS 2023 Practical Contextual Bandits with Feedback Graphs Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro

COLT 2022 Adaptive Bandit Convex Optimization with Heterogeneous Curvature Haipeng Luo, Mengxiao Zhang, Peng Zhao

COLT 2022 Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits Haipeng Luo, Mengxiao Zhang, Peng Zhao, Zhi-Hua Zhou

ICML 2022 No-Regret Learning in Time-Varying Zero-Sum Games Mengxiao Zhang, Peng Zhao, Haipeng Luo, Zhi-Hua Zhou

ICML 2021 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 Zhang

COLT 2021 Last-Iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-Horizon Competitive Markov Games Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo

ICLR 2021 Linear Last-Iterate Convergence in Constrained Saddle-Point Optimization Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo

COLT 2020 A Closer Look at Small-Loss Bounds for Bandits with Graph Feedback Chung-Wei Lee, Haipeng Luo, Mengxiao Zhang

NeurIPS 2020 Bias No More: High-Probability Data-Dependent Regret Bounds for Adversarial Bandits and MDPs Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang

UAI 2020 Selling Data at an Auction Under Privacy Constraints Mengxiao Zhang, Fernando Beltran, Jiamou Liu