We consider an experiment with at least two stages or batches and O (N) subjects per batch.
First, we propose a semiparametric treatment effect estimator that efficiently pools …

Robotic systems have subsystems with a combinatorially large configuration space and
hundreds or thousands of possible software and hardware configuration options interacting …

Many standard estimators, when applied to adaptively collected data, fail to be
asymptotically normal, thereby complicating the construction of confidence intervals. We …

We study the best-arm identification (BAI) problem with a fixed budget and contextual
(covariate) information. In each round of an adaptive experiment, after observing contextual …

➢ Keywords: Causal inference, decision-making, and experimental design.∎ Treatment arm
(arm/treatment/policy). ex. drugs, advertisements, and economic policies.• Each treatment …

This study introduces a debiasing method for regression estimators, including high-
dimensional and nonparametric regression estimators. For example, nonparametric …

We investigate the problem of fixed-budget best arm identification (BAI) for minimizing
expected simple regret. In an adaptive experiment, a decision maker draws one of multiple …

We consider fixed-budget best-arm identification in two-armed Gaussian bandit problems.
One of the longstanding open questions is the existence of an optimal strategy under which …

This study investigates the contextual best arm identification (BAI) problem, aiming to design
an adaptive experiment to identify the best treatment arm conditioned on contextual …