Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees

Salar Fattahi, Andres Gomez

In this paper, we study the problem of inferring time-varying Markov random fields (MRF), where the underlying graphical model is both sparse and changes sparsely over time. Most o…