49 citations · 263 across the 36 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2022★ 1 cited
Online Balanced Experimental Design
David Arbour, Drew Dimmery, Tung Mai +1
e consider the experimental design problem in an online environment, an important practical task for reducing the variance of estimates in randomized experiments which allows for g…
stat.ME2020
Efficient Balanced Treatment Assignments for Experimentation
David Arbour, Drew Dimmery, Anup Rao
In this work, we reframe the problem of balanced treatment assignment as optimization of a two-sample test between test and control units. Using this lens we provide an assignment…
stat.ME2020
Designing Transportable Experiments
My Phan, David Arbour, Drew Dimmery +1
We consider the problem of designing a randomized experiment on a source population to estimate the Average Treatment Effect (ATE) on a target population. We propose a novel approa…