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Efficient variational inference in large-scale Bayesian compressed sensing
large-scale Bayesian variational inference Computer Vision and Pattern Recognition
2011/10/9
Abstract: 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 approaches, th...