SSTS extracts causal topological orders from score functions via Schur complements of the Score-Jacobian Information Matrix, bypassing acyclicity optimization.
A linear non-gaussian acyclic model for causal discovery.Journal of Machine Learning Research, 7(10), 2006
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Optimization-Free Topological Sort for Causal Discovery via the Schur Complement of Score Jacobians
SSTS extracts causal topological orders from score functions via Schur complements of the Score-Jacobian Information Matrix, bypassing acyclicity optimization.