Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
the conditional average treatment effect (CATE) function discussed in Part 1. In meta-learner methods, the treatment space must be discrete. Meta-learners build on base algorithms — such as logistic regression (LR), random forests (RF), XGBoost, Bayesian additive regression trees (BART), or neural