Efficient variational inference in large-scale Bayesian compressed sensing

George Papandreou, Alan Yuille

We study linear models under heavy-tailed priors from a probabilistic viewpoint. Instead of computing a single sparse most probable (MAP) solution as in standard deterministic appr…