Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation

Divyat Mahajan, Ioannis Mitliagkas, Brady Neal +1

We study the problem of model selection in causal inference, specifically for conditional average treatment effect (CATE) estimation. Unlike machine learning, there is no perfect a…