Provable Guarantees and Efficient Learning of Structural Equation Models with Latent Confounders
An algorithm is proposed that iteratively identifies terminal (observed) nodes and reconstructs the directed acyclic graph of the observed variables as a sparse plus low-rank matrix that correctly identifies the directed causal relationship among observed variables.
Wei-Jian Yu, J. Honorio
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