Cover Image

Optimal Conditional Inference in Adaptive Experiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiafeng, Andrews, Isaiah
Format:	Preprint
Published:	2023
Subjects:	Methodology Machine Learning Econometrics Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)

Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)

Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
by: Whitehouse, Justin, et al.
Published: (2025)

Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
by: Yan, Yuling, et al.
Published: (2024)

Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)

Empirical Bayes When Estimation Precision Predicts Parameters
by: Chen, Jiafeng
Published: (2022)

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)

The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)

Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)

Debiased Regression for Root-N-Consistent Conditional Mean Estimation
by: Kato, Masahiro
Published: (2024)

Bayesian Semi-supervised Inference via a Debiased Modeling Approach
by: Sert, Gözde, et al.
Published: (2025)

Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters
by: Dalal, Abhinandan, et al.
Published: (2024)

Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data
by: Sakaguchi, Shosei
Published: (2024)

Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
by: Chihara, Naoki, et al.
Published: (2026)

Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
by: Yan, Jian, et al.
Published: (2022)

Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)

A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
by: Kato, Masahiro
Published: (2025)

Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)

Debiased Bayesian Inference for High-dimensional Regression Models
by: Chen, Qihui, et al.
Published: (2025)

Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
by: Kato, Masahiro
Published: (2023)

Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
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)

Certified Decisions
by: Andrews, Isaiah, et al.
Published: (2025)

Fixed-Horizon Self-Normalized Inference for Adaptive Experiments via Martingale AIPW/DML with Logged Propensities
by: Saco, Gabriel
Published: (2026)

Testing Monotonicity in a Finite Population
by: Chen, Jiafeng, et al.
Published: (2025)

Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)

Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2026)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)

Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)

Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)

Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions
by: Faletto, Gregory
Published: (2023)

Policy Learning with Distributional Welfare
by: Cui, Yifan, et al.
Published: (2023)

Riesz Regression As Direct Density Ratio Estimation
by: Kato, Masahiro
Published: (2025)

The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)

Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
by: Kato, Masahiro
Published: (2026)