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Causal Tree Learning For Heterogeneous Treatment Effect Estimation | Causal Flows
Analysts are often interested how a particular intervention differentially affects individuals within an observed population, given high dimensional data describing each individual's characteristics. In this scenario, what state of the art machine learning technique is best suited for estimating heterogeneous treatment effects?