Author

Gunwoong Park

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#machine learning Preprint Oct 2026

Local Fisher Information Enables Sparse Causal Discovery

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 Fisher score for both ordering and parent selection. Under regularity and...

Byeongguk Kang, Dong-He-On Lee, Euijong Song et al. · 0 citations

#machine learning Preprint Sep 2026

Discrete Score Matching Enables Causal Discovery from Count Data

Count data pose a challenge for score-matching-based causal discovery: derivatives are unavailable, and simply replacing them with finite differences does not generally suffice for causal discovery. We generalize SCORE's constant-curvature criterion (Rolland et al., 2022) by conditioning on the node's value, yielding t...

Euijong Song, Hyewon Park, Gunwoong Park · 0 citations