3 papers
stat.ME2026
Estimating the True Effect Size Distribution with SIMEX
Zhaoqi Li, Daniel Ting, Ilya Gorbachev +2
Large-scale online experimentation produces noisy effect estimates, which can overstate gains and complicate decisions about launches and testing policies. We propose a nonparametr…
stat.ME2026
A Statistical Test for the Benefits of Personalizing Interventions
Zhaoqi Li, Emma Brunskill
From medicine to marketing to social sciences, the promise of tailoring interventions to individuals is undeniable. However, practical applications force weighing personalization's…
cs.LG2026
Active Learning for Stochastic Contextual Linear Bandits
Emma Brunskill, Ishani Karmarkar, Zhaoqi Li
A key goal in stochastic contextual linear bandits is to efficiently learn a near-optimal policy. Prior algorithms for this problem learn a policy by strategically sampling actions…