Cover Image

Instance-Adaptive Hypothesis Tests with Heterogeneous Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Flora C., Wainwright, Martin J., Bates, Stephen
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Machine Learning Econometrics Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sharp Results for Hypothesis Testing with Risk-Sensitive Agents
by: Shi, Flora C., et al.
Published: (2024)

Principal-Agent Hypothesis Testing
by: Bates, Stephen, et al.
Published: (2022)

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

Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
by: Ngo, Daniel, et al.
Published: (2023)

Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis
by: Liao, Luofeng, et al.
Published: (2024)

Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions
by: Liao, Luofeng, et al.
Published: (2024)

Buying Data of Unknown Quality: Fisher Information Procurement Auctions
by: Hu, Yuchen, et al.
Published: (2026)

Testing Most Influential Sets
by: Konrad, Lucas Darius, et al.
Published: (2025)

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)

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

Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)

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

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

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

Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium
by: Liao, Luofeng, et al.
Published: (2024)

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

Online Causal Inference for Advertising in Real-Time Bidding Auctions
by: Waisman, Caio, et al.
Published: (2019)

Incentive-Theoretic Bayesian Inference for Collaborative Science
by: Bates, Stephen, et al.
Published: (2023)

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

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

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

Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)

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

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

Causal-Policy Forest for End-to-End Policy Learning
by: Kato, Masahiro
Published: (2025)

Direct Debiased Machine Learning via Bregman Divergence Minimization
by: Kato, Masahiro
Published: (2025)

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

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)

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

PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
by: Kato, Masahiro, et al.
Published: (2025)

Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
by: Kato, Masahiro
Published: (2025)

ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
by: Kato, Masahiro
Published: (2025)

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

Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)

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

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
by: Cai, Yang, et al.
Published: (2025)

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

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

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

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