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cs.LG2024
Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics
Vignesh Tirukkonda, Anirudh Rayas, Gautam Dasarathy
Gaussian graphical model selection is usually studied under independent sampling, but in many applications observations arise from dependent dynamics. We study structure learning w…
stat.ML2024
Learning Networks from Wide-Sense Stationary Stochastic Processes
Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri +2
Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from…