Publications associées à Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

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Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

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Factored Facade Acquisition using Symmetric Line Arrangements

3D Reconstruction Of Wave-Propagated Point Sources From Boundary Measurements Using Joint Sparsity And Finite Rate Of Innovation

Sparse diffusion LMS for distributed adaptive estimation

Equivalence of synthesis and atomic formulations of sparse recovery

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A Constrained Latent Variable Model

Hyperspectral Image Compressed Sensing Via Low-Rank And Joint-Sparse Matrix Recovery

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Geodesic Active Fields

Image Reconstruction from Compressed Linear Measurements with Side Information

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Geodesic Active Fields

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Equivalence of synthesis and atomic formulations of sparse recovery

Sparse diffusion LMS for distributed adaptive estimation

3D Reconstruction Of Wave-Propagated Point Sources From Boundary Measurements Using Joint Sparsity And Finite Rate Of Innovation

A Constrained Latent Variable Model

Factored Facade Acquisition using Symmetric Line Arrangements

Hyperspectral Image Compressed Sensing Via Low-Rank And Joint-Sparse Matrix Recovery

Image Reconstruction from Compressed Linear Measurements with Side Information