There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum ...

Estimators derived from the expectation-maximization (EM) algorithm are not robust since they are based on the maximization of the likelihood function. We propose an iterative proximal-point algorithm ...