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Local Fisher Information Enables Sparse Causal Discovery

arXiv:2610.04291v1 Announce Type: new Abstract: Sparse causal discovery calls for methods that exploit graph structure without estimating high-dimensional densities. We introduce Fisher Information Completion Search (FiCS), a source-first algorithm for additive noise models that uses one local Fish…

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  1. 2026-10-06 04:00 · arXiv stat.ML
    Local Fisher Information Enables Sparse Causal Discovery

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