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Conditional Average Treatment Effects (CATE) estimation is one of the main challenges in causal inference with observational data. In addition to Machine Learning based-models, nonparametric estimators called meta-learners have been developed to esti
Externí odkaz:
http://arxiv.org/abs/2205.14714
