Publications associées à A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

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.

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Graph Chatbot

Chattez avec Graph Search

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

A Data-Driven Approach to Power Converter Control via Convex Optimization

Faster Coordinate Descent via Adaptive Importance Sampling

A single-phase, proximal path-following framework

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Faster Coordinate Descent via Adaptive Importance Sampling

A Data-Driven Approach to Power Converter Control via Convex Optimization

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Composite convex minimization involving self-concordant-like cost functions

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

A single-phase, proximal path-following framework

Composite convex minimization involving self-concordant-like cost functions