KOHEI YATA
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I am an Assistant Professor in the Department of Economics at the University of Wisconsin–Madison.
My research interests are in econometric theory and applied econometrics. I am particularly interested in policy evaluation and optimization.
Contact: yata@wisc.edu
Working Papers
Optimal Decision Rules Under Partial Identification
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules (with Yusuke Narita) [Submitted Paper]
When to Target Customers? Retention Management using Constrained Dynamic Off-Policy Policy Learning (with Ryuya Ko, Kosuke Uetake, and Ryosuke Okada)
Publications
Counterfactual Learning with General Data-Generating Policies (with Yusuke Narita, Kyohei Okumura, and Akihiro Shimizu), Proceedings of the AAAI Conference on Artificial Intelligence, 37(8), 9286–9293, 2023. [Paper with Appendix]
Debiased Off-Policy Evaluation for Recommendation Systems (with Yusuke Narita and Shota Yasui), Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021), 372–379, 2021.
Efficient Counterfactual Learning from Bandit Feedback (with Yusuke Narita and Shota Yasui), Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 4634–4641, 2019. [Paper with Appendix]
