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Chenwei DING

1 accepted papers

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…