14 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
On the Benefit of Blocking for Online Experiments with Skewed Data
Abbas Zaidi, Matthew Reimherr, Rina Friedberg +2
This paper advocates for using blocked (stratified) assignment in online A/B tests to handle highly skewed population data. While blocking yields only modest precision gains (5-10%…
Incentive Alignment in Online Experimentation
Ermis Soumalias, {Ermis Soumalias, Richard Mudd +1
Evaluating the causal effect of new features is a central goal for online platforms. While recent literature addresses limited testing traffic via centralized portfolio optimizatio…
Breaking the Winner's Curse with Bayesian Hybrid Shrinkage
Richard Mudd, Abbas Zaidi, Rina Friedberg +3
The widespread adoption of randomized controlled trials (A/B Tests) for decision-making has introduced a pervasive "Winner's Curse": experiments selected for launch often exhibit u…