Score matching enables causal discovery of nonlinear additive noise models

Paul Rolland, Volkan Cevher, Matthäus Kleindessner +4

This paper demonstrates how to recover causal graphs from the score of the data distribution in non-linear additive (Gaussian) noise models. Using score matching algorithms as a bu…