Functional sequential treatment allocation with covariates

Cites Work

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Program evaluation as a decision problem
The multi-armed bandit problem with covariates
Minimax regret treatment choice with covariates or with limited validity of experiments
Statistical treatment choice based on asymmetric minimax regret criteria
Inferring welfare maximizing treatment assignment under budget constraints
Generalized L-, M-, and R-statistics
Statistical decision theory. Estimation, testing, and selection.
Fast learning rates for plug-in classifiers
Econometrics and decision theory
Smooth discrimination analysis
Randomized allocation with nonparametric estimation for a multi-armed bandit problem with covariates
Optimal aggregation of classifiers in statistical learning.
Minimax regret treatment choice with finite samples
Robust Risk-Averse Stochastic Multi-armed Bandits
Online Learning and Online Convex Optimization
Some Generalized Functions for the Size Distribution of Income
Quantile Maximization in Decision Theory*
Asymptotics for Statistical Treatment Rules
A One-Armed Bandit Problem with a Concomitant Variable
Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice
Understanding Doctor Decision Making: The Case of Depression Treatment
Adaptive Treatment Assignment in Experiments for Policy Choice
Policy Learning With Observational Data
The Generalized Beta Distribution as a Model for the Distribution of Income: Estimation of Related Measures of Inequality
Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing
Functional Sequential Treatment Allocation
Introduction to nonparametric estimation
Offline Multi-Action Policy Learning: Generalization and Optimization
Equality-Minded Treatment Choice

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