2025
PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units
NeurIPS 2025poster
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…