Publications de Ahmet Alacaoglu

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

Ahmet Alacaoglu

Graph Chatbot

Chattez avec Graph Search

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Forward-reflected-backward method with variance reduction

Convergence of adaptive algorithms for constrained weakly convex optimization

Random extrapolation for primal-dual coordinate descent

Conditional gradient methods for stochastically constrained convex minimization

A new regret analysis for Adam-type algorithms

Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging

An adaptive primal-dual framework for nonsmooth convex minimization

On the convergence of stochastic primal-dual hybrid gradient

Random extrapolation for primal-dual coordinate descent

Convergence of adaptive algorithms for constrained weakly convex optimization

Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

An adaptive primal-dual framework for nonsmooth convex minimization

Conditional gradient methods for stochastically constrained convex minimization

A new regret analysis for Adam-type algorithms

On the convergence of stochastic primal-dual hybrid gradient

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

Forward-reflected-backward method with variance reduction