Xiaowu Dai

30 papers A* 4Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
ALIGN: Aligned Delegation with Performance Guarantees for Multi-Agent LLM Reasoning.
CoRR
Tong Zhu, Baiting Chen, Jin Zhou, Hua Zhou, Sriram Sankararaman, Xiaowu Dai
2026 A* conf
Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.
WWW
Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai
2026 J jnl
Correction: Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.
PLoS Comput. Biol.
Fengzhu Sun, Yue Huang, Tianqi Tang, Xiaowu Dai
2026 J jnl
Prediction-Powered Conditional Inference.
CoRR
Yang Sui, Jin Zhou, Hua Zhou, Xiaowu Dai
2026 J jnl
Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification.
CoRR
Angel Rodrigo Avelar Menendez, Yufeng Liu, Xiaowu Dai
2026 J jnl
Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals.
CoRR
Mathew Chandy, Michael Johnson, Judong Shen, Devan V. Mehrotra, Hua Zhou, Jin Zhou, Xiaowu Dai
2026 A* conf
Variance Reduction via Resampling and Experience Replay.
AAAI
Jiale Han, Xiaowu Dai, Yuhua Zhu
2025 J jnl
Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification.
CoRR
Jiale Han, Chun Gan, Chengcheng Zhang, Jie He, Zhangang Lin, Ching Law, Xiaowu Dai
2025 J jnl
Fairness-aware organ exchange and kidney paired donation.
CoRR
Mingrui Zhang, Xiaowu Dai, Lexin Li
2025 J jnl
Incentivizing Truthful Language Models via Peer Elicitation Games.
CoRR
Baiting Chen, Tong Zhu, Jiale Han, Lexin Li, Gang Li, Xiaowu Dai
2025 J jnl
Learn then Decide: A Learning Approach for Designing Data Marketplaces.
CoRR
Yingqi Gao, Jin Zhou, Hua Zhou, Yong Chen, Xiaowu Dai
2025 J jnl
LightAgent: Production-level Open-source Agentic AI Framework.
CoRR
Weige Cai, Tong Zhu, Jinyi Niu, Ruiqi Hu, Lingyao Li, Tenglong Wang, Xiaowu Dai, Weining Shen, Liwen Zhang
2025 J jnl
Quantifying microbial interactions based on compositional data using an iterative approach for solving generalized Lotka-Volterra equations.
PLoS Comput. Biol.
Yue Huang, Tianqi Tang, Xiaowu Dai, Fengzhu Sun
2025 J jnl
Variance Reduction via Resampling and Experience Replay.
CoRR
Jiale Han, Xiaowu Dai, Yuhua Zhu
2024 J jnl
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs.
CoRR
Ali Kaazempur-Mofrad, Xiaowu Dai
2024 J jnl
Conformal Online Auction Design.
CoRR
Jiale Han, Xiaowu Dai
2024 J jnl
Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility.
CoRR
Yuantong Li, Guang Cheng, Xiaowu Dai
2024 J jnl
Incentive-Aware Recommender Systems in Two-Sided Markets.
Trans. Recomm. Syst.
Xiaowu Dai, Wenlu Xu, Yuan Qi, Michael I. Jordan
2024 J jnl
Post-Regularization Confidence Bands for Ordinary Differential Equations.
J. Mach. Learn. Res.
Xiaowu Dai, Lexin Li
2024 A* conf
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints.
ICML
Yuantong Li, Guang Cheng, Xiaowu Dai
2023 J jnl
Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks.
CoRR
Xiaowu Dai, Hengzhi He
2023 J jnl
Double Matching Under Complementary Preferences.
CoRR
Yuantong Li, Guang Cheng, Xiaowu Dai
2023 J jnl
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions.
CoRR
Jiale Han, Xiaowu Dai
2022 J jnl
Incentive-Aware Recommender Systems in Two-Sided Markets.
CoRR
Xiaowu Dai, Yuan Qi, Michael I. Jordan
2021 J jnl
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences.
J. Mach. Learn. Res.
Xiaowu Dai, Michael I. Jordan
2021 A* conf
Learning in Multi-Stage Decentralized Matching Markets.
NeurIPS
Xiaowu Dai, Michael I. Jordan
2021 J jnl
Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors.
CoRR
Xiaowu Dai, Michael I. Jordan
2021 J jnl
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective.
CoRR
Xiaowu Dai, Yuhua Zhu
2020 J jnl
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences.
CoRR
Xiaowu Dai, Michael I. Jordan
2018 J jnl
Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent.
CoRR
Xiaowu Dai, Yuhua Zhu