Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing

arXiv:2606.31230 · cs.LG, stat.ML · Submitted 2026-06-30 · Read on arXiv

Eric Shen, Tony Wu, Mahbod Majid, Ankur Moitra

cs.LG, stat.ML

Submitted: 2026-06-30

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

Terminology

• Gaussian Graphical Model — 15× in this paper
• Sparsity — 15× in this paper · explained in 5 episodes
• Degeneracy — 7× in this paper · explained in 4 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Sample Complexity — 2× in this paper · explained in 20 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Conditional Independence — 1× in this paper · explained in 2 episodes
• Mutual Information — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes

Sources

• Better Models and Algorithms for Learning Ising Models from Dynamics

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