Publication

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Graph Chatbot

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.

Connectez-vous pour utiliser Chat avec Graph Search

Publications associées à Statistical limits of dictionary learning: Random matrix theory and the spectral replica method | EPFL Graph Search

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the first

k

eigenvectors of the similarity matrix' Laplacian, whose computati ...

Ieee2016

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Graph Chatbot

Chattez avec Graph Search

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

New Approach to Identifying Critical Initial Conditions for Extreme Flood Simulations in a Semicontinuous Simulation Framework

A Row-Column Accessed Dynamic Element Matching DAC Architecture for SAR ADCs

Polarization of the Renyi Information Dimension With Applications to Compressed Sensing

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Fast recovery and approximation of hidden Cauchy structure

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Optimal acoustic rake receiver

Compressive PCA for Low-Rank Matrices on Graphs

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fast recovery and approximation of hidden Cauchy structure

The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices

New Approach to Identifying Critical Initial Conditions for Extreme Flood Simulations in a Semicontinuous Simulation Framework

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Polarization of the Renyi Information Dimension With Applications to Compressed Sensing

Optimal acoustic rake receiver

A Row-Column Accessed Dynamic Element Matching DAC Architecture for SAR ADCs

Compressive PCA for Low-Rank Matrices on Graphs

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points