bayesian inference 1gaussian graphical models 1high-dimensional inference 1precision matrix estimation 1total positivity 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Bayesian Graphical Models under Positivity Constraints: A Scalable generalized likelihood Approach
Swarnali Raha, Partha Sarkar, Sirani Perera +1
The paper proposes a scalable Bayesian method for estimating precision matrices in Gaussian graphical models with total positivity constraints, using a D‑trace loss and spike‑and‑s…
stat.ML2026
Optimality of Sub-network Laplace Approximations: New Results and Methods
Swarnali Raha, Kshitij Khare, Rohit K Patra
Although the Laplace approximation offers a simple route to uncertainty quantification in deep neural networks, its reliance on inverting large Hessian matrices has motivated a ran…