Proximal Causal Learning of Conditional Average Treatment Effects

Erik Sverdrup, Yifan Cui

Abstract: Efficiently and flexibly estimating treatment effect heterogeneity is an important task in a wide variety of settings ranging from medicine to marketing, and there are a considerable number of prom...