Causal Inference, Machine Learning, Editors Pick, Bcn Causal Algo, Thoughts And Theory.
explained ingredients and place them in a single algorithm. Let us define a fully interactive model, more general than the partially linear one. This model does not assume that D (treatment) is additively separable: General model Our causal parameter of interest is the ATE, 𝔼[g₀(1;Z) - g₀(0;Z)],