Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
Fuente:
arXiv
Saved in:
| Main Author: | Kato, Masahiro |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023)
by: Kato, Masahiro
Published: (2023)
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
by: Kato, Masahiro
Published: (2023)
by: Kato, Masahiro
Published: (2023)
The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)
by: Kato, Masahiro, et al.
Published: (2021)
Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
by: Kato, Masahiro, et al.
Published: (2025)
by: Kato, Masahiro, et al.
Published: (2025)
Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Adaptive Experimental Design for Policy Learning
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
General Bayesian Policy Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Adaptive Neyman Allocation
by: Zhao, Jinglong
Published: (2023)
by: Zhao, Jinglong
Published: (2023)
genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Asymptotically Unbiased Synthetic Control Methods by Moment Matching
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
Towards Generalizing Inferences from Trials to Target Populations
by: Huang, Melody Y, et al.
Published: (2024)
by: Huang, Melody Y, et al.
Published: (2024)
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Debiased Regression for Root-N-Consistent Conditional Mean Estimation
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Riesz Regression As Direct Density Ratio Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Causal-Policy Forest for End-to-End Policy Learning
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Direct Debiased Machine Learning via Bregman Divergence Minimization
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Unified Framework for Debiased Machine Learning: Riesz Representer Fitting under Bregman Divergence
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Statistical Tests for Replacing Human Decision Makers with Algorithms
by: Feng, Kai, et al.
Published: (2023)
by: Feng, Kai, et al.
Published: (2023)
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
by: Shmueli, Galit, et al.
Published: (2025)
by: Shmueli, Galit, et al.
Published: (2025)
A Double Machine Learning Approach to Combining Experimental and Observational Data
by: Parikh, Harsh, et al.
Published: (2023)
by: Parikh, Harsh, et al.
Published: (2023)
$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
by: Balgi, Sourabh, et al.
Published: (2022)
by: Balgi, Sourabh, et al.
Published: (2022)
Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies
by: Petrungaro, Bruno, et al.
Published: (2026)
by: Petrungaro, Bruno, et al.
Published: (2026)
Selecting the Best Arm in One-Shot Multi-Arm RCTs: The Asymptotic Minimax-Regret Decision Framework for the Best-Population Selection Problem
by: Joo, Joonhwi
Published: (2025)
by: Joo, Joonhwi
Published: (2025)
PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
by: Kato, Masahiro, et al.
Published: (2025)
by: Kato, Masahiro, et al.
Published: (2025)
Sequential Audit Sampling with Statistical Guarantees
by: Kato, Masahiro, et al.
Published: (2026)
by: Kato, Masahiro, et al.
Published: (2026)
Similar Items
-
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025) -
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023) -
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
by: Kato, Masahiro
Published: (2023) -
The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021) -
Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
by: Kato, Masahiro
Published: (2024)