2024
Estimation of partially known Gaussian graphical models with score-based structural priors
AISTATS 2024poster
We propose a novel algorithm for the support estimation of partially known Gaussian graphical models that incorporates prior information about the underlying graph. In contrast to classical approaches that provide a point estimate based on a maximum likelihood or maximum a posteriori approach using…