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 Estimation for Regression Discontinuity Design with Binary Outcomes (with Takuya Ishihara and Masayuki Sawada)
Optimal Decision Rules Under Partial Identification, Revise and Resubmit at Review of Economic Studies
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules (with Yusuke Narita), Revise and Resubmit at Management Science
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]
