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Byeongguk Kang

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#machine learning Preprint Oct 2026

Local Fisher Information Enables Sparse Causal Discovery

Fisher Information Completion Search is introduced, a source-first algorithm for additive noise models that uses one local Fisher score for both ordering and parent selection and it is proved that a node's local Fisher information equals the noise Fisher information exactly when the conditioning set contains all parent...

Byeongguk Kang, Dong-He-On Lee, Euijong Song et al. · 0 citations
#machine learning Preprint Oct 2026

Hold-Out Scoring for Efficient Gaussian DAG Learning

High-dimensional Gaussian DAG learning faces a statistical-computational gap: methods with sharp sample complexity rely on computationally expensive subset search and a supplied indegree bound, whereas polynomial-time alternatives have less favorable sample complexity. We introduce HOST, an efficient DAG learning algor...

Donguk Shin, Byeongguk Kang, Inseol Lee et al. · 0 citations

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