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Hyewon Park

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#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

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