2 papers
stat.ML2026
Local Fisher Information Enables Sparse Causal Discovery
Byeongguk Kang, Donghyeon Lee, Euijong Song +1
Sparse causal discovery calls for methods that exploit graph structure without estimating high-dimensional densities. We introduce Fisher Information Completion Search (FiCS), a so…
stat.ML2026
Discrete Score Matching Enables Causal Discovery from Count Data
Euijong Song, Hyewon Park, Gunwoong Park
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…