Fumiaki Kozai

PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units

The estimation of average treatment effects (ATEs), defined as the difference in expected outcomes between treatment and control groups, is a central topic in causal inference. This study develops semiparametric efficient estimators for ATE in a setting where only a treatment group and an unlabeled…