Publications associées à Saddle-to-Saddle Dynamics in Diagonal Linear Networks

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Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Michaël Unser, Julien René Pierre Fageot, Harshit Gupta

We present a theoretical analysis and comparison of the effect of

ℓ _{ 1 }

versus

ℓ _{ 2 }

regularization for the resolution of ill-posed linear inverse and/or compressed sensing problems. Our formulation covers the most general setting where the s ...

IEEE2016

Saddle-to-Saddle Dynamics in Diagonal Linear Networks

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Sparse Dictionaries for Continuous-Domain Inverse Problems

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

General Proximal Gradient Method: A Case for Non-Euclidean Norms

Acoustic DoA Estimation by One Unsophisticated Sensor

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Smoothing technique for nonsmooth composite minimization with linear operator

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

General Proximal Gradient Method: A Case for Non-Euclidean Norms

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Smoothing technique for nonsmooth composite minimization with linear operator

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Sparse Dictionaries for Continuous-Domain Inverse Problems

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Acoustic DoA Estimation by One Unsophisticated Sensor