45 citations · 114 across the 14 of their papers we have counts for
14 papers
Enough?
Drew Dimmery, Kevin Munger
We respond to Aronow et al. (2025)'s paper arguing that randomized controlled trials (RCTs) are "enough," while nonparametric identification in observational studies is not. We agr…
Subjective visualization experiences: impact of visual design and experimental design
Laura Koesten, Drew Dimmery, Michael Gleicher +1
In contrast to objectively measurable aspects (such as accuracy, reading speed, or memorability), the subjective experience of visualizations has only recently gained importance, a…
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…
Interpretable Personalized Experimentation
Han Wu, Sarah Tan, Weiwei Li +7
Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments. However, they…
Online Discrepancy Minimization via Persistent Self-Balancing Walks
David Arbour, Drew Dimmery, Tung Mai +1
We study the online discrepancy minimization problem for vectors in in the oblivious setting where an adversary is allowed fix the vectors in…
Designing Multi-Arm Experiments for Global Average Treatment Effects Under Partial Interference
Molly Offer-Westort, Drew Dimmery
When interference is present, a unit's outcome depends on others' assignments and there is generally no single, design-free average treatment effect. We study settings where the de…