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What is Nonlinear Causal Discovery via PANM about?

This document presents a novel algorithm, SNOE, for nonlinear causal discovery that sequentially orients undirected edges in a completed partial directed acyclic graph (CPDAG) using the pairwise additive noise model (PANM). The authors prove that SNOE can recover the true causal DAG under certain conditions and demonstrate its computational efficiency and robustness through extensive experiments. The paper highlights the limitations of existing methods and positions SNOE as a superior alternative for learni

Author

MohammadAzam

Language

EN