Support Selection Beyond Smooth DAG Exactness: Completion Geometry,Score Margins, and Selective Certificates

arXiv:2608.08103 · cs.LG · Submitted 2026-08-08 · Read on arXiv

cs.LG

Submitted: 2026-08-08

Updated: 2026-08-29

Comments: 49 pages, 17 figures, 20 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Generator — 19× in this paper · explained in 2 episodes
• Regret — 16× in this paper · explained in 4 episodes
• Trace — 11× in this paper · explained in 2 episodes
• Core — 10× in this paper · explained in 2 episodes
• Degeneracy — 6× in this paper · explained in 4 episodes
• Regret Bound — 6× in this paper · explained in 2 episodes
• Parameterization — 5× in this paper · explained in 2 episodes
• Lasso — 4× in this paper · explained in 2 episodes
• Sparsity — 4× in this paper · explained in 5 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Abstention — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Causal Discovery — 2× in this paper · explained in 3 episodes
• Edge AI — 2× in this paper · explained in 2 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Hypergraph — 2× in this paper · explained in 2 episodes
• Regret Bounds — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Clarity — 1× in this paper · explained in 3 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Hypergraphs — 1× in this paper · explained in 2 episodes
• Kullback–Leibler Divergence — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Representation Geometry — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Sample Complexity — 1× in this paper · explained in 20 episodes
• Universality — 1× in this paper · explained in 2 episodes

Sources

• Bayesian network learning with cutting planes
• Empirical Bernstein Bounds and Sample Variance Penalization
• Exploiting Non-Negativity in DAG Structure Learning

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