3 papers
stat.AP2026
Evaluating for the long term: Learnings from industry
Leif Sigerson, Tom Cunningham, Winston Chou +22
Online platforms prioritize long-term business outcomes, yet typical experiments are far too short to measure these outcomes directly. Our goal in this paper is to collect and shar…
econ.EM2026
AI-Assisted Variance Reduction in Randomized Experiments
David Arbour, Eli Ben-Michael, Avi Feller +2
Generative AI and large language models can produce realistic predictions of human behavior from rich, unstructured inputs with little to no task-specific training data. Recent wor…
stat.ME2018
Identifying and Estimating Principal Causal Effects in Multi-site Trials
Lo-Hua Yuan, Avi Feller, Luke W. Miratrix
Randomized trials are often conducted with separate randomizations across multiple sites such as schools, voting districts, or hospitals. These sites can differ in important ways,…