Publications associées à Sparse Distributed Learning Based on Diffusion Adaptation

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Sparse Distributed Learning Based on Diffusion Adaptation

Graph Chatbot

Chattez avec Graph Search

Phaseless Diffraction Tomography With Regularized Beam Propagation

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

Acoustic DoA Estimation by One Unsophisticated Sensor

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Learning from sparse codes

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Estimation Error of the Constrained Lasso

Morphological component analysis for sparse regularization in plane wave imaging

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Signal structure: from manifolds to molecules and structured sparsity

Phaseless Diffraction Tomography With Regularized Beam Propagation

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

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Signal structure: from manifolds to molecules and structured sparsity

Estimation Error of the Constrained Lasso

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Acoustic DoA Estimation by One Unsophisticated Sensor

Learning from sparse codes

Morphological component analysis for sparse regularization in plane wave imaging