Machine Learning, Causal Inference, Programming, Data Science.
treatment group? This is what X-learner tries to do: uses information from the control group to derive better estimators for the treatment group and vice versa. It is built on T-learner and uses each observation in the training set in an ‘X’-like shape. This is where counterfactuals come into