Randomized experiments have been the gold standard for assessing the effectiveness of a
treatment, policy, or intervention, spanning various fields, including social sciences …

Principal component regression (PCR) is a popular technique for fixed-design error-in-
variables regression, a generalization of the linear regression setting in which the observed …

Experimentation has been critical and increasingly popular across various domains, such as
clinical trials and online platforms, due to its widely recognized benefits. One of the primary …

We consider the stochastic multi-armed bandit problem and fully characterize the interplays
among three desired properties for policy design: worst-case optimality, instance-dependent …

In experimental design, Neyman allocation refers to the practice of allocating subjects into
treated and control groups, potentially in unequal numbers proportional to their respective …

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and
thus require the analyst to specify a fixed sample size in advance. However, in many online …

When launching a new product, historical sales data is often not available, leaving price as a
crucial experimental instrument for sellers to gauge market response. When designing …

We consider the problem of efficient inference of the Average Treatment Effect in a
sequential experiment where the policy governing the assignment of subjects to treatment or …

We study the Pareto frontier of two archetypal objectives in multi-armed bandits, namely,
regret minimization (RM) and best arm identification (BAI) with a fixed horizon. It is folklore …

There has been significant recent interest in the mechanics community to design structures
that can either violate reciprocity, or exhibit elastic asymmetry or odd elasticity. While these …