Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
treatment effect estimation, and builds on modern machine learning approaches. The main idea of R-learner is to use this representation to construct a loss function that captures heterogeneous treatment effects, so that we can accurately estimate the treatment effects by seeking a regularized