Publications associées à Real-time Optimization with Estimation of Experimental Gradient

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

Real-time Optimization with Estimation of Experimental Gradient

Graph Chatbot

Chattez avec Graph Search

Stochastic adaptive resampling for the estimation of discrete choice models

Universal and adaptive methods for robust stochastic optimization

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

Level-set-based Shape Optimization on Soft Magnetic Composites with Isotropy Constraint

Convergence of adaptive algorithms for constrained weakly convex optimization

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain

Forward-Backward Splitting for Optimal Transport Based Problems

A note on efficient computation of privileged directions in modifier adaptation

The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

Universal and adaptive methods for robust stochastic optimization

Level-set-based Shape Optimization on Soft Magnetic Composites with Isotropy Constraint

Convergence of adaptive algorithms for constrained weakly convex optimization

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain

Forward-Backward Splitting for Optimal Transport Based Problems

A note on efficient computation of privileged directions in modifier adaptation

Stochastic adaptive resampling for the estimation of discrete choice models

The sliding Frank-Wolfe algorithm and its application to super-resolution microscopy