Vignesh Tirukkonda

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics

This analysis tackles the problem of exact recovery of the graph from one trajectory of random-scan Gaussian Glauber dynamics by demonstrating how to extract fresh Gaussian innovations from the update sequence, which yields mixing-free control of appropriate quantities.