2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
NeurIPS 2019spotlight
Causal discovery witnessed significant progress over the past decades. In particular, many recent causal discovery methods make use of independent, non-Gaussian noise to achieve identifiability of the causal models. Existence of hidden direct common causes, or confounders, generally makes causal dis…