45 citations · 114 across the 14 of their papers we have counts for
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cs.LG2021
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…
cs.DS2021
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…
stat.ME2021★ 1 cited
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…