Publications associées à Convex optimization in sums of Banach spaces

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.

Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Convex optimization in sums of Banach spaces

Graph Chatbot

Chattez avec Graph Search

WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Stability of Image-Reconstruction Algorithms

Quadratic serendipity element shape functions on general planar polygons

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Proximal Point Imitation Learning

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

Multikernel Regression with Sparsity Constraint

Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals

Convergence of adaptive algorithms for constrained weakly convex optimization

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Stability of Image-Reconstruction Algorithms

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

Quadratic serendipity element shape functions on general planar polygons

Proximal Point Imitation Learning

Multikernel Regression with Sparsity Constraint

Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals

Convergence of adaptive algorithms for constrained weakly convex optimization