2 papers
stat.ML2026
Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
Oscar Clivio, Alexander D'Amour, Alexander Franks +3
Overlap, also known as positivity, is a key condition for causal treatment effect estimation. Many popular estimators suffer from high variance and become brittle when features dif…
stat.ME2021
Estimating the effects of a California gun control program with Multitask Gaussian Processes
Eli Ben-Michael, David Arbour, Avi Feller +2
Gun violence is a critical public safety concern in the United States. In 2006 California implemented a unique firearm monitoring program, the Armed and Prohibited Persons System (…