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Kohei Yata

University of Wisconsin–Madison (from arXiv:2509.18857, 2025) · OpenAlex

6 papers in scope · 2 published · 4 on the econ.EM arXiv · 30 citations · h-index 2 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Akihiro Shimizu
  2. Chen Qiu
  3. Takuya Ishihara
  4. Toru Kitagawa
  5. Yusuke Narita
  6. Andres Fernandez
  7. Jörg Stoye
  8. Koohyun Kwon
  9. Cheaheon Lim
  10. Kyohei Okumura
  11. Daido Kido
  12. Yiwei Sun
  13. Jia-Feng Chen
  14. José Luis Montiel Olea
  15. Yuan Qi
  16. Matias D. Cattaneo
  17. Riccardo D'Adamo
  18. Giacomo Opocher
  19. Hugo Enrique Sánchez López
  20. Rocío Titiunik

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(5 of 6)

Optimal estimation for regression discontinuity design with binary outcomes
working paper2025 · arXiv
with Takuya Ishihara, Masayuki Sawada
Paper profile arXiv arXiv:2509.18857
Counterfactual Learning with General Data-Generating Policies
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations · first circulated 2022
with Yusuke Narita, Kyohei Okumura, Akihiro Shimizu
Paper profile Proceedings of the AAAI Conference on Artificial Intelligence arXiv:2212.01925
Optimal Decision Rules Under Partial Identification
working paper2021 · arXiv · 3 citations
Paper profile arXiv arXiv:2111.04926
Debiased Off-Policy Evaluation for Recommendation Systems
working paper2021
with Yusuke Narita, Shota Yasui
Paper profile publisher arXiv:2002.08536
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
working paper2021 · arXiv · 2 citations
with Yusuke Narita
Paper profile arXiv arXiv:2104.12909
Efficient Counterfactual Learning from Bandit Feedback
published2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 24 citations · first circulated 2018
with Yusuke Narita, Shota Yasui
Proceedings of the AAAI Conference on Artificial Intelligence

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.