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Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing

arXiv cs.LG · 2026-07-01 Cached

This paper presents a polynomial-time algorithm for learning the structure of a Gaussian graphical model from a single trajectory of Glauber dynamics, with a trajectory-length guarantee that does not depend on the mixing time.

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