Xiaowu Dai

According to our database, Xiaowu Dai authored at least 29 papers between 2018 and 2026.

Collaborative distances:

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

2026

Common-agency Games for Multi-Objective Test-Time Alignment.

Baiting Chen, Tong Zhu, Rui Yu, Xiaowu Dai

CoRR, May, 2026

Mechanism Design for Quality-Preserving LLM Advertising.

Jiale Han, Xiaowu Dai

CoRR, May, 2026

Prediction-Powered Conditional Inference.

Yang Sui, Jin Zhou, Hua Zhou, Xiaowu Dai

CoRR, March, 2026

Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification.

Angel Rodrigo Avelar Menendez, Yufeng Liu, Xiaowu Dai

CoRR, March, 2026

Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals.

Mathew Chandy, Michael Johnson, Judong Shen, Devan V. Mehrotra, Hua Zhou, Jin Zhou, Xiaowu Dai

CoRR, February, 2026

ALIGN: Aligned Delegation with Performance Guarantees for Multi-Agent LLM Reasoning.

Tong Zhu, Baiting Chen, Jin Zhou, Hua Zhou, Sriram Sankararaman, Xiaowu Dai

CoRR, February, 2026

Correction: Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.

Fengzhu Sun, Yue Huang, Tianqi Tang, Xiaowu Dai

PLoS Comput. Biol., 2026

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.

Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai

Proceedings of the ACM Web Conference 2026, 2026

Variance Reduction via Resampling and Experience Replay.

Jiale Han, Xiaowu Dai, Yuhua Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, September, 2025

Incentivizing Truthful Language Models via Peer Elicitation Games.

Baiting Chen, Tong Zhu, Jiale Han, Lexin Li, Gang Li, Xiaowu Dai

CoRR, May, 2025

Learn then Decide: A Learning Approach for Designing Data Marketplaces.

Yingqi Gao, Jin Zhou, Hua Zhou, Yong Chen, Xiaowu Dai

CoRR, March, 2025

Fairness-aware organ exchange and kidney paired donation.

Mingrui Zhang, Xiaowu Dai, Lexin Li

CoRR, March, 2025

Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.

Yue Huang, Tianqi Tang, Xiaowu Dai, Fengzhu Sun

PLoS Comput. Biol., 2025

2024

Incentive-Aware Recommender Systems in Two-Sided Markets.

Xiaowu Dai, Wenlu Xu, Yuan Qi, Michael I. Jordan

Trans. Recomm. Syst., December, 2024

Post-Regularization Confidence Bands for Ordinary Differential Equations.

Xiaowu Dai, Lexin Li

J. Mach. Learn. Res., 2024

A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs.

Ali Kaazempur-Mofrad, Xiaowu Dai

CoRR, 2024

Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility.

Yuantong Li, Guang Cheng, Xiaowu Dai

CoRR, 2024

Conformal Online Auction Design.

Jiale Han, Xiaowu Dai

CoRR, 2024

Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints.

Yuantong Li, Guang Cheng, Xiaowu Dai

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

2023

Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks.

Xiaowu Dai, Hengzhi He

CoRR, 2023

Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions.

Jiale Han, Xiaowu Dai

CoRR, 2023

Double Matching Under Complementary Preferences.

Yuantong Li, Guang Cheng, Xiaowu Dai

CoRR, 2023

2022

Incentive-Aware Recommender Systems in Two-Sided Markets.

Xiaowu Dai, Yuan Qi, Michael I. Jordan

CoRR, 2022

2021

Learning Strategies in Decentralized Matching Markets under Uncertain Preferences.

Xiaowu Dai, Michael I. Jordan

J. Mach. Learn. Res., 2021

On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective.

Xiaowu Dai, Yuhua Zhu

CoRR, 2021

Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors.

Xiaowu Dai, Michael I. Jordan

CoRR, 2021

Learning in Multi-Stage Decentralized Matching Markets.

Xiaowu Dai, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent.

Xiaowu Dai, Yuhua Zhu

CoRR, 2018