Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent. - Xiaowu Dai; Yuhua Zhu (CoRR, 2018)

Learning in Multi-Stage Decentralized Matching Markets. - Xiaowu Dai; Michael I. Jordan (NeurIPS, 2021)

Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors. - Xiaowu Dai; Michael I. Jordan (CoRR, 2021)

On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective. - Xiaowu Dai; Yuhua Zhu (CoRR, 2021)

Learning Strategies in Decentralized Matching Markets under Uncertain Preferences. - Xiaowu Dai; Michael I. Jordan (J. Mach. Learn. Res., 2021)

Incentive-Aware Recommender Systems in Two-Sided Markets. - Xiaowu Dai; Yuan Qi 001; Michael I. Jordan (CoRR, 2022)

Double Matching Under Complementary Preferences. - Yuantong Li; Guang Cheng 003; Xiaowu Dai (CoRR, 2023)

Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions. - Jiale Han 002; Xiaowu Dai (CoRR, 2023)

Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks. - Xiaowu Dai; Hengzhi He (CoRR, 2023)

Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints. - Yuantong Li; Guang Cheng 003; Xiaowu Dai (ICML, 2024)

Conformal Online Auction Design. - Jiale Han 002; Xiaowu Dai (CoRR, 2024)

Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility. - Yuantong Li; Guang Cheng 003; Xiaowu Dai (CoRR, 2024)

A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs. - Ali Kaazempur-Mofrad; Xiaowu Dai (CoRR, 2024)

Post-Regularization Confidence Bands for Ordinary Differential Equations. - Xiaowu Dai; Lexin Li (J. Mach. Learn. Res., 2024)

Incentive-Aware Recommender Systems in Two-Sided Markets. - Xiaowu Dai; Wenlu Xu; Yuan Qi 001; Michael I. Jordan (Trans. Recomm. Syst., 2024)

Variance Reduction via Resampling and Experience Replay. - Jiale Han 002; Xiaowu Dai; Yuhua Zhu (CoRR, 2025)

Fairness-aware organ exchange and kidney paired donation. - Mingrui Zhang; Xiaowu Dai; Lexin Li (CoRR, 2025)

Learn then Decide: A Learning Approach for Designing Data Marketplaces. - Yingqi Gao; Jin Zhou; Hua Zhou; Yong Chen; Xiaowu Dai (CoRR, 2025)

Incentivizing Truthful Language Models via Peer Elicitation Games. - Baiting Chen; Tong Zhu; Jiale Han; Lexin Li; Gang Li; Xiaowu Dai (CoRR, 2025)

LightAgent: Production-level Open-source Agentic AI Framework. - Weige Cai; Tong Zhu; Jinyi Niu; Ruiqi Hu; Lingyao Li; Tenglong Wang; Xiaowu Dai; Weining Shen; Liwen Zhang (CoRR, 2025)

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification. - Jiale Han; Chun Gan; Chengcheng Zhang; Jie He 005; Zhangang Lin; Ching Law; Xiaowu Dai (CoRR, 2025)