Details about Masahiro Kato

Access statistics for papers by Masahiro Kato.

Last updated 2026-08-03. Update your information in the RePEc Author Service.

Short-id: pka1786

Working Papers

2026

1. A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
   Papers, arXiv.org
2. AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models
   Papers, arXiv.org
3. Causality Elicitation from Large Language Models
   Papers, arXiv.org
4. Conformal Prediction for Nonparametric Instrumental Regression
   Papers, arXiv.org
5. Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
   Papers, arXiv.org
6. Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
   Papers, arXiv.org View citations (1)
7. General Bayesian Policy Learning
   Papers, arXiv.org
8. Minimax and Bayes Optimal Best-Arm Identification
   Papers, arXiv.org
9. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression
   Papers, arXiv.org
10. Riesz Regression As Direct Density Ratio Estimation
    Papers, arXiv.org
11. ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
    Papers, arXiv.org
12. Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
    Papers, arXiv.org
13. Sequential Audit Sampling with Statistical Guarantees
    Papers, arXiv.org
14. Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference
    Papers, arXiv.org
15. genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
    Papers, arXiv.org

2025

16. A Note on Doubly Robust Estimator in Regression Discontinuity Designs
    Papers, arXiv.org
17. A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
    Papers, arXiv.org
18. Adaptive Experimental Design for Policy Learning
    Papers, arXiv.org
19. Asymptotically Unbiased Synthetic Control Methods by Moment Matching
    Papers, arXiv.org
20. Bayesian Portfolio Optimization by Predictive Synthesis
    Papers, arXiv.org
21. Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
    Papers, arXiv.org
22. Causal-Policy Forest for End-to-End Policy Learning
    Papers, arXiv.org
23. Conformal Predictive Portfolio Selection
    Papers, arXiv.org
24. Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
    Papers, arXiv.org
25. Direct Debiased Machine Learning via Bregman Divergence Minimization
    Papers, arXiv.org
26. Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
    Papers, arXiv.org View citations (2)
27. Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
    Papers, arXiv.org
28. Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
    Papers, arXiv.org
29. Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
    Papers, arXiv.org
30. Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
    Papers, arXiv.org
31. Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
    Papers, arXiv.org
32. PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
    Papers, arXiv.org

2024

33. Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
    Papers, arXiv.org View citations (1)
34. Debiased Regression for Root-N-Consistent Conditional Mean Estimation
    Papers, arXiv.org
35. Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
    Papers, arXiv.org
36. Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
    Papers, arXiv.org
37. The Role of Contextual Information in Best Arm Identification
    Papers, arXiv.org View citations (3)
38. Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
    Papers, arXiv.org
39. Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
    Papers, arXiv.org View citations (1)

2023

40. Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds
    Papers, arXiv.org View citations (1)
41. Best Arm Identification with Contextual Information under a Small Gap
    Papers, arXiv.org
42. Best-of-Both-Worlds Linear Contextual Bandits
    Papers, arXiv.org
43. CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
    Papers, arXiv.org View citations (1)

2022

44. Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
    Papers, arXiv.org View citations (1)
45. Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
    Papers, arXiv.org
46. Learning Classifiers under Delayed Feedback with a Time Window Assumption
    Papers, arXiv.org
47. Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap
    Papers, arXiv.org View citations (4)

2021

48. Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability
    Papers, arXiv.org
49. Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling
    Papers, arXiv.org View citations (8)
50. The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy
    Papers, arXiv.org View citations (3)

2020

51. A Practical Guide of Off-Policy Evaluation for Bandit Problems
    Papers, arXiv.org
52. Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales
    Papers, arXiv.org View citations (2)
53. Identifying Different Definitions of Future in the Assessment of Future Economic Conditions: Application of PU Learning and Text Mining
    Papers, arXiv.org
54. Model Specification Test with Unlabeled Data: Approach from Covariate Shift
    Papers, arXiv.org
55. Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
    Papers, arXiv.org View citations (5)
56. Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy
    Papers, arXiv.org View citations (2)