Publications associées à CoCoA: A General Framework for Communication-Efficient Distributed Optimization

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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

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

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Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A Signal Processing Approach to Generalized 1-D Total Variation

Fast Geodesic Active Fields for Image Registration based on Splitting and Augmented Lagrangian Approaches

Framework for explicit drift correction in multivariate calibration models

Nonideal sampling and regularized interpolation of noisy data

On a doubly nonlinear diffusion model of chemotaxis with prevention of overcrowding

Parametric B-Spline Snakes on Distance Maps—Application to Segmentation of Histology Images

Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems

Regularized Robust Estimators for Time Varying Uncertain Discrete-Time Systems

The analysis of kernel ridge regression learning algorithm.

Nonideal sampling and regularized interpolation of noisy data

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Fast Geodesic Active Fields for Image Registration based on Splitting and Augmented Lagrangian Approaches

Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems

The analysis of kernel ridge regression learning algorithm.

Regularized Robust Estimators for Time Varying Uncertain Discrete-Time Systems

A Signal Processing Approach to Generalized 1-D Total Variation

Framework for explicit drift correction in multivariate calibration models

On a doubly nonlinear diffusion model of chemotaxis with prevention of overcrowding

Parametric B-Spline Snakes on Distance Maps—Application to Segmentation of Histology Images