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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…
stat.ML2022
Robust Model Selection of Gaussian Graphical Models
Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar +2
In Gaussian graphical model selection, noise-corrupted samples present significant challenges. It is known that even minimal amounts of noise can obscure the underlying structure,…