2
H index
0
i10 index
13
Citations
Masahiro Kato : Citation Profile
| RESEARCH PRODUCTION: 56 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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6 years (2020 - 2026). Relations with other researchers
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Masahiro Kato. | Is cited by: | Cites to:
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Main data
Where Masahiro Kato has published?
| Working Papers Series with more than one paper published | # docs |
|---|---|
| Papers / arXiv.org | 56 |
Recent works citing Masahiro Kato (2026 and 2025)
| Year | Title of citing document |
|---|---|
| 2026 | Policy design in experiments with unknown interference. (2024). Viviano, Davide. In: Papers. RePEc:arx:papers:2011.08174. Full description at Econpapers || Download paper |
| 2025 | Externally Valid Policy Choice. (2023). Christensen, Timothy ; Adjaho, Christopher. In: Papers. RePEc:arx:papers:2205.05561. Full description at Econpapers || Download paper |
| 2026 | Adaptive Neyman Allocation. (2023). Zhao, Jinglong. In: Papers. RePEc:arx:papers:2309.08808. Full description at Econpapers || Download paper |
| 2024 | Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification. (2024). Russo, Daniel ; Qin, Chao. In: Papers. RePEc:arx:papers:2402.10592. Full description at Econpapers || Download paper |
| 2024 | Experimental Design For Causal Inference Through An Optimization Lens. (2024). Zhao, Jinglong. In: Papers. RePEc:arx:papers:2408.09607. Full description at Econpapers || Download paper |
| 2026 | Benefits and Costs of Adaptive Sampling. (2026). Bojinov, Iavor ; Ham, Dae Woong ; Lin, Yu-Shiou Willy. In: Papers. RePEc:arx:papers:2604.24652. Full description at Econpapers || Download paper |
| 2026 | Robust sequential experimental design for A/B testing. (2026). Wu, Xiangkun ; Wen, Qianglin ; Zhu, Hongtu ; Zhang, Yingying ; Tang, Niansheng ; Li, Ting ; Shi, Chengchun. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:138897. Full description at Econpapers || Download paper |
| 2026 | Dual-Directed Algorithm Design for Efficient Pure Exploration. (2026). You, Wei ; Qin, Chao. In: Operations Research. RePEc:inm:oropre:v:74:y:2026:i:2:p:1104-1125. Full description at Econpapers || Download paper |
| 2024 | Bandit algorithms for policy learning: methods, implementation, and welfare-performance. (2024). Rowley, Jeff ; Kitagawa, Toru. In: The Japanese Economic Review. RePEc:spr:jecrev:v:75:y:2024:i:3:d:10.1007_s42973-024-00165-6. Full description at Econpapers || Download paper |
Works by Masahiro Kato:
| Year | Title | Type | Cited |
|---|---|---|---|
| 2020 | Identifying Different Definitions of Future in the Assessment of Future Economic Conditions: Application of PU Learning and Text Mining In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2020 | Model Specification Test with Unlabeled Data: Approach from Covariate Shift In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Efficient Adaptive Experimental Design for Average Treatment Effect Estimation In: Papers. [Full Text][Citation analysis] | paper | 2 |
| 2020 | Off-Policy Evaluation and Learning for External Validity under a Covariate Shift In: Papers. [Full Text][Citation analysis] | paper | 3 |
| 2020 | Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2022 | Learning Classifiers under Delayed Feedback with a Time Window Assumption In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2021 | The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2020 | A Practical Guide of Off-Policy Evaluation for Bandit Problems In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2020 | Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy In: Papers. [Full Text][Citation analysis] | paper | 1 |
| 2021 | Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | The Role of Contextual Information in Best Arm Identification In: Papers. [Full Text][Citation analysis] | paper | 1 |
| 2022 | Learning Causal Models from Conditional Moment Restrictions by Importance Weighting In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2021 | Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling In: Papers. [Full Text][Citation analysis] | paper | 2 |
| 2022 | Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap In: Papers. [Full Text][Citation analysis] | paper | 3 |
| 2022 | Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2023 | Best Arm Identification with Contextual Information under a Small Gap In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2023 | Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Asymptotically Unbiased Synthetic Control Methods by Moment Matching In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2023 | CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2023 | Best-of-Both-Worlds Linear Contextual Bandits In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Adaptive Experimental Design for Policy Learning In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices In: Papers. [Full Text][Citation analysis] | paper | 1 |
| 2025 | Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Conformal Predictive Portfolio Selection In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | A Note on Doubly Robust Estimator in Regression Discontinuity Designs In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | Debiased Regression for Root-N-Consistent Conditional Mean Estimation In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Learning from Double Positive and Unlabeled Data for Potential-Customer Identification In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Minimax and Bayes Optimal Best-Arm Identification In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Bayesian Portfolio Optimization by Predictive Synthesis In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Direct Debiased Machine Learning via Bregman Divergence Minimization In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Riesz Regression As Direct Density Ratio Estimation In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2025 | Causal-Policy Forest for End-to-End Policy Learning In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | General Bayesian Policy Learning In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Causality Elicitation from Large Language Models In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Conformal Prediction for Nonparametric Instrumental Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Sequential Audit Sampling for Finite Populations with Exact and Simulation-based Guarantee In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2026 | Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference In: Papers. [Full Text][Citation analysis] | paper | 0 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 20 2026. Contact: CitEc Team