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Masahiro Kato

The University of Tokyo (from arXiv:2601.07752, 2026) · ORCID · OpenAlex

56 papers in scope · 8 published · 51 on the econ.EM arXiv · 103 citations · h-index 5 (over the papers listed here)

Related authors

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

  1. Han Fang
  2. Kentaro Baba
  3. Hibiki Kaibuchi
  4. Ryo Inokuchi
  5. Yusuke Kaneko
  6. Elizabeth L. Ogburn
  7. Oliver Dukes
  8. David Bruns-Smith
  9. Kenshi Abe
  10. Masatoshi Uehara
  11. Kaito Ariu
  12. Shantanu Gupta
  13. Zachary C. Lipton
  14. David Childers
  15. Shota Yasui
  16. Zhexiao Lin
  17. Masaaki Imaizumi
  18. Vasilis Syrgkanis
  19. Victor Chernozhukov
  20. Avi Feller

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

(49 of 56)

Subspace regularized principal component analysis using prior exposure information
published2026 · Finance research letters
with Kei Nakagawa, Mitsuyoshi Imamura
Finance research letters
Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression
working paper2026 · arXiv
Paper profile arXiv arXiv:2606.12892
Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
working paper2026 · arXiv
Paper profile arXiv arXiv:2605.06386
Sequential Audit Sampling with Statistical Guarantees
working paper2026 · arXiv
with Kei Nakagawa
Paper profile arXiv arXiv:2604.06116
Conformal Prediction for Nonparametric Instrumental Regression
working paper2026 · arXiv
Paper profile arXiv arXiv:2603.25509
Causality Elicitation from Large Language Models
working paper2026 · arXiv
with Takashi Kameyama, Yasuko Hio, Yasushi Takano, Naoto Minakawa
Paper profile arXiv arXiv:2603.04276
General Bayesian Policy Learning
working paper2026 · arXiv
Paper profile arXiv arXiv:2602.23672
genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
working paper2026 · arXiv
Paper profile arXiv arXiv:2602.17543
A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
working paper2026 · arXiv
Paper profile arXiv arXiv:2601.07752
Causal-Policy Forest for End-to-End Policy Learning
working paper2025 · arXiv
Paper profile arXiv arXiv:2512.22846
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
working paper2025 · arXiv
Paper profile arXiv arXiv:2512.20523
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
working paper2025 · arXiv
Paper profile arXiv arXiv:2511.08303
Riesz Regression As Direct Density Ratio Estimation
working paper2025 · arXiv
Paper profile arXiv arXiv:2511.04568
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
working paper2025 · arXiv
Paper profile arXiv arXiv:2510.26723
Bayesian Portfolio Optimization by Predictive Synthesis
working paper2025 · arXiv · first circulated 2024
with Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi
Paper profile arXiv arXiv:2510.07180
Minimax and Bayes Optimal Best-Arm Identification
working paper2025 · arXiv
Paper profile arXiv arXiv:2506.24007
Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
working paper2025 · arXiv
with Yuki Ikeda, Kentaro Baba, Takashi Imai, Ryo Inokuchi
Paper profile arXiv arXiv:2506.00436
PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
working paper2025 · arXiv
with Fumiaki Kozai, Ryo Inokuchi
Paper profile arXiv arXiv:2501.19345
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
working paper2024 · arXiv
Paper profile arXiv arXiv:2412.20173
Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
working paper2024 · arXiv
Paper profile arXiv arXiv:2412.17753
Debiased Regression for Root-N-Consistent Conditional Mean Estimation
working paper2024 · arXiv
Paper profile arXiv arXiv:2411.11748
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
working paper2024 · arXiv
Paper profile arXiv arXiv:2411.07978
Conformal Predictive Portfolio Selection
working paper2024 · arXiv
Paper profile arXiv arXiv:2410.16333
Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
working paper2024 · arXiv
Paper profile arXiv arXiv:2405.19317
Adaptive Experimental Design for Policy Learning
working paper2024 · arXiv · 1 citations
with Kyohei Okumura, Takuya Ishihara, Toru Kitagawa
Paper profile arXiv arXiv:2401.03756
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
working paper2024 · arXiv · 1 citations
with Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi
Paper profile arXiv arXiv:2403.03589
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
working paper2024 · arXiv
Paper profile arXiv arXiv:2403.03240
Best-of-Both-Worlds Linear Contextual Bandits
working paper2023 · arXiv
with Shinji Ito
Paper profile arXiv arXiv:2312.16489
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
working paper2023 · arXiv
Paper profile arXiv arXiv:2312.12741
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
working paper2023 · arXiv
Paper profile arXiv arXiv:2310.19788
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
working paper2023 · arXiv · 3 citations
with Masaaki Imaizumi
Paper profile arXiv arXiv:2310.16819
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
working paper2023 · arXiv
with Kota Matsui
Paper profile arXiv arXiv:2310.16638
Rate-Optimal Bayesian Simple Regret in Best Arm Identification
published2023 · Mathematics of Operations Research · 2 citations · first circulated 2021
with Junpei Komiyama, Kaito Ariu, Chao Qin
Mathematics of Operations Research
Asymptotically Unbiased Synthetic Control Methods by Moment Matching
working paper2023 · arXiv
with Akari Ohda
Paper profile arXiv arXiv:2307.11127
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds
working paper2023 · arXiv · 1 citations
with Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
Paper profile arXiv arXiv:2302.02988
Best Arm Identification with Contextual Information under a Small Gap
working paper2022 · arXiv
with Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
Paper profile arXiv arXiv:2209.07330
Learning Classifiers under Delayed Feedback with a Time Window Assumption
published2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 5 citations · first circulated 2020
with Shota Yasui
Paper profile Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining arXiv:2009.13092
Unraveling the reasons behind lead phthalocyanine acting as a good absorber for near-infrared sensitive devices
published2022 · Scientific Reports · 11 citations
with Hayato Yoshizawa, Masato Nakaya, Yasutaka Kitagawa, Koichi Okamoto, Tomoaki Yamada, Masahito Yoshino, Kentaro Tanaka, Jun Onoe
Scientific Reports
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
working paper2022 · arXiv · 3 citations
with Masaaki Imaizumi
Paper profile arXiv arXiv:2202.05245
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap
working paper2022 · arXiv
with Kaito Ariu, Masaaki Imaizumi, Masahiro Nomura, Chao Qin
Paper profile arXiv arXiv:2201.04469
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
published2021 · Neural Information Processing Systems · 3 citations · first circulated 2020
with Kenichiro McAlinn, Shota Yasui
no link
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling under Posterior Weighted Policy Regret
working paper2021 · arXiv · 3 citations
with Kaito Ariu, Junpei Komiyama, Kenichiro McAlinn, Chao Qin
Paper profile arXiv arXiv:2109.08229
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
working paper2021 · arXiv
with Masaaki Imaizumi, Kenichiro McAlinn, Haruo Kakehi, Shota Yasui
Paper profile arXiv arXiv:2108.01312
The Role of Contextual Information in Best Arm Identification
working paper2021 · arXiv · 3 citations
with Kaito Ariu
Paper profile arXiv arXiv:2106.14077
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
published2021 · International Conference on Machine Learning · 6 citations · first circulated 2020
with Takeshi Teshima
International Conference on Machine Learning
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability
working paper2021 · arXiv · 1 citations
Paper profile arXiv arXiv:2102.08975
A Practical Guide of Off-Policy Evaluation for Bandit Problems
working paper2020 · arXiv · 4 citations
with Kenshi Abe, Kaito Ariu, Shota Yasui
Paper profile arXiv arXiv:2010.12470
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy
working paper2020 · arXiv · 2 citations
with Yusuke Kaneko
Paper profile arXiv arXiv:2010.13554
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy
working paper2020 · arXiv
with Shota Yasui, Kenichiro McAlinn
Paper profile arXiv arXiv:2010.03792
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales
working paper2020 · arXiv · 2 citations
Paper profile arXiv arXiv:2006.06982
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
working paper2020 · arXiv · 12 citations
with Masatoshi Uehara, Shota Yasui
Paper profile arXiv arXiv:2002.11642
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm.
working paper2020 · arXiv · 5 citations
with Takuya Ishihara, Junya Honda, Yusuke Narita
Paper profile arXiv arXiv:2002.05308
Model Specification Test with Unlabeled Data: Approach from Covariate Shift
working paper2019 · arXiv
with Hikaru Kawarazaki
Paper profile arXiv arXiv:1911.00688
Identifying Different Definitions of Future in the Assessment of Future Economic Conditions: Application of PU Learning and Text Mining
working paper2019 · arXiv · 1 citations
Paper profile arXiv arXiv:1909.03348
Production and characterization of tearless and non-pungent onion
published2016 · Scientific Reports · 34 citations
with Noriya Masamura, Jinji Shono, Daisaku Okamoto, Tomoko Abe, Shinsuke Imai
Scientific Reports
233U Production using BWR for Thorium Molten-Salt Reactor Start-up
published2009 · Transactions of the Atomic Energy Society of Japan
with Koshi Mitachi, Ritsuo Yoshioka, Takahisa Yamamoto, Toshiki Tsurumi
Transactions of the Atomic Energy Society of Japan

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.