Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

13 Mar 2018Diviyan KalainathanOlivier GoudetIsabelle GuyonDavid Lopez-PazMichèle Sebag

A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper. Leveraging both conditional independencies and distributional asymmetries in the data, SAM aims at recovering full causal models from continuous observational data along a multivariate non-parametric setting... (read more)

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