Publications associées à Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

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.

A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

Graph Chatbot

Chattez avec Graph Search

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton's method

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Computational Inverse Design of Surface-based Inflatables

A first-order primal-dual method with adaptivity to local smoothness

Efficient algorithms for wave problems

Large Steps in Inverse Rendering of Geometry

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

Multi space reduced basis preconditioners for parametrized Stokes equations

On flexible Green function methods for atomistic/continuum coupling

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton's method

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Efficient algorithms for wave problems

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

A first-order primal-dual method with adaptivity to local smoothness

Multi space reduced basis preconditioners for parametrized Stokes equations

On flexible Green function methods for atomistic/continuum coupling

Large Steps in Inverse Rendering of Geometry

Computational Inverse Design of Surface-based Inflatables