Publications associées à Compressible distributions for high-dimensional statistics

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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

Compressible distributions for high-dimensional statistics

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Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Autocalibrated Signal Reconstruction from Linear Measurements Using Adaptive GAMP

Beyond Moore-Penrose: Sparse Pseudoinverse

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

Mmse Denoising Of Sparse Levy Processes Via Message Passing

MMSE Denoising of Sparse Lévy Processes via Message Passing

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Sparse diffusion LMS for distributed adaptive estimation

Evidence for Alternative Hypotheses

Autocalibrated Signal Reconstruction From Linear Measurements Using Adaptive Gamp

Autocalibrated Signal Reconstruction from Linear Measurements Using Adaptive GAMP

Evidence for Alternative Hypotheses

Beyond Moore-Penrose: Sparse Pseudoinverse

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

MMSE Denoising of Sparse Lévy Processes via Message Passing

Sparse diffusion LMS for distributed adaptive estimation

Mmse Denoising Of Sparse Levy Processes Via Message Passing

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising