Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
Double machine learning is a method for estimating heterogeneous treatment effects when all potential confounders are observed, but are either too many for classical statistical approaches to be applicable, or their effect on the treatment and outcome cannot be satisfactorily modeled by parametric