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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
Hold-Out Scoring for Efficient Gaussian DAG Learning
Donguk Shin, Byeongguk Kang, Inseol Lee +1
High-dimensional Gaussian DAG learning faces a statistical-computational gap: methods with sharp sample complexity rely on computationally expensive subset search and a supplied in…