Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
as X-learner: When real-world data contains more control group than treatment group, the likelihood of overfitting the treatment group when using T-learner is high. X-learner tries to avoid this by using information from the control group to derive better estimators for the treatment group and vice