Data Science, Machine Learning, Causal Inference, AI, Linear Programming.
(de-biasing): Machine learning model used to estimate the probability of treatment assignment (often referred to as propensity score). The treatment model residuals are then calculated. Outcome model (de-noising): Machine learning model used to estimate the outcome using just the control features.