Valid causal inference with unobserved confounding in high-dimensional settings

Niloofar Moosavi, Tetiana Gorbach, Xavier de Luna

Various methods have recently been proposed to estimate causal effects with confidence intervals that are uniformly valid over a set of data generating processes when high-dimensio…