Causal discovery for linear causal model with correlated noise: an Adversarial Learning Approach

Mujin Zhou, Junzhe Zhang

Causal discovery from data with unmeasured confounding factors is a challenging problem. This paper proposes an approach based on the f-GAN framework, learning the binary causal st…