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Machine Learning and Economics​

[Matching markets, Mechanism design, Incentives]

(Note:     student author;  * 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.

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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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• Incentive-aware recommender systems in two-sided markets. [pdf​]

Xiaowu Dai, Yuan Qi, and Michael Jordan. 

Preprint, 2022+.

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• Double matching under complementary preferences. [pdf][code​]

Yuantong Li, Guang Cheng, and Xiaowu Dai*. 

Preprint, 2023+.

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• Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions. [pdf][code]

Jiale Han and Xiaowu Dai*. 

Preprint, 2023+.

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• An ODE model for dynamic matching in heterogeneous networks. [pdf][code]

Xiaowu Dai and Hengzhi He. 

Preprint, 2023+.

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