Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
is not as important for X-learner. R-learner: The two steps within R-learner include (as outlined by Nie2017): Step 1: Estimate marginal effects and treatment propensities to form an objective function that isolates the causal component of the signal. Step 2: Optimize the data-adaptive objective