Economics and Machine Learning
[Matching markets, Mechanism design, Theory of incentives]
(Note: students under my supervision; * corresponding author.)
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Learning strategies in decentralized matching markets under uncertain preferences. [journal][preprint]
Xiaowu Dai and Michael Jordan.
Journal of Machine Learning Research (JMLR), 2021. [lead article]
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Learning in multi-stage decentralized matching markets. [proceedings][preprint]
Xiaowu Dai and Michael Jordan.
Advances in Neural Information Processing Systems (NeurIPS), 2021.
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Discussion: "Estimating means of bounded random variables by betting" by Waudby-Smith and Ramdas. [journal][reprint][preprint][code]
Jiayi Li, Yuantong Li, and Xiaowu Dai*.
Journal of the Royal Statistical Society: Series B (JRSSB), 2023.
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Two-sided competing matching recommendation markets with quota and complementary preferences constraints. [proceedings][preprint][code]
Yuantong Li, Guang Cheng, and Xiaowu Dai*.
International Conference on Machine Learning (ICML), 2024.
Xiaowu Dai*, Wenlu Xu, Yuan Qi, and Michael Jordan.
ACM Transactions on Recommender Systems (TORS), 2024.
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Nonparametric estimation via partial derivatives. [journal][preprint][UCLA StatsDS News][UCLA Physical Sciences News]
Xiaowu Dai*.
Journal of the Royal Statistical Society: Series B (JRSSB), 2024. [lead article]
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A data envelopment analysis approach for assessing fairness in resource allocation: Application to kidney exchange programs. [pdf][code]
Ali Kaazempur-Mofrad, and Xiaowu Dai*.
Preprint, 2024.
Xiaowu Dai* and Hengzhi He.
Preprint, 2023.
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Dynamic online recommendation for two-sided market with Bayesian incentive compatibility. [pdf]
Yuantong Li, Guang Cheng, and Xiaowu Dai*.
Preprint, 2024.
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Conformal online auction design. [pdf][code][older version, code]
Jiale Han and Xiaowu Dai*.
Preprint, 2024.
I'm also interested in designing real matching systems. For example, I designed Hilbert Matching [App Store], a matching system for the clothing industry.