Bayesian inference for structured spike and slab priors
MR Andersen, O Winther… - Advances in Neural …, 2014 - proceedings.neurips.cc
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
[PDF][PDF] Bayesian Inference for Structured Spike and Slab Priors
MR Andersen, O Winther, LK Hansen - papers.neurips.cc
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
Bayesian Inference for Structured Spike and Slab Priors
MR Andersen, O Winther, LK Hansen - 28th Annual Conference on …, 2014 - orbit.dtu.dk
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
Bayesian inference for structured spike and slab priors
MR Andersen, O Winther, LK Hansen - Proceedings of the 27th …, 2014 - dl.acm.org
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
Bayesian Inference for Structured Spike and Slab Priors
MR Andersen, O Winther… - Advances in Neural …, 2014 - proceedings.neurips.cc
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
[PDF][PDF] Bayesian Inference for Structured Spike and Slab Priors
MR Andersen, O Winther, LK Hansen - scholar.archive.org
Sparse signal recovery addresses the problem of solving underdetermined linear inverse
problems subject to a sparsity constraint. We propose a novel prior formulation, the …
problems subject to a sparsity constraint. We propose a novel prior formulation, the …