Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

NeurIPS 2019 Chenwei DingMingming GongKun ZhangDacheng Tao

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... (read more)

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