Data Science, Machine Learning, Causal Inference, AI, Linear Programming.
conditional average treatment effects (CATE)! Conditional Average Treatment Effects (CATE) CATE CATE is the average impact of a treatment or intervention on different subgroups of a population. ATE was very much about “does this treatment work?” whereas CATE allows us to change the question to “who