Deep Structural Causal Models for Tractable Counterfactual Inference

Nick Pawlowski, Daniel C. Castro, Ben Glocker

We formulate a general framework for building structural causal models (SCMs) with deep learning components. The proposed approach employs normalising flows and variational inferen…