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Discrete Score Matching Enables Causal Discovery from Count Data

Song, Euijong et al.
arXiv (All) · Papers
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machine-learning
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
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