Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects

1 code implementation • 8 Jun 2020 • Qiming Du, Gérard Biau, François Petit, Raphaël Porcher

We present new insights into causal inference in the context of Heterogeneous Treatment Effects by proposing natural variants of Random Forests to estimate the key conditional distributions.

Causal Inference Philosophy