Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference

Matthew Kosko, Falco J, Bargagli-Stoffi +2

Kernel methods are widely used in causal inference for tasks such as treatment effect estimation, policy evaluation, and policy learning. The bootstrap is a standard tool for uncer…