Catalyst for Gradient-based Nonconvex Optimization | Zendy

Courtney Paquette | Zendy; Hongzhou Lin | Zendy; Dmitriy Drusvyatskiy | Zendy; Julien Mairal | Zendy; Zaïd Harchaoui | Zendy

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Catalyst for Gradient-based Nonconvex Optimization

Author(s) -

Courtney Paquette,

Hongzhou Lin,

Dmitriy Drusvyatskiy,

Julien Mairal,

Zaïd Harchaoui

Publication year - 2018

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - Uncategorized

Resource type - Conference proceedings

Subject(s) - convexity , stationary point , convex function , mathematical optimization , computer science , convex optimization , convergence (economics) , artificial neural network , rate of convergence , scheme (mathematics) , regular polygon , function (biology) , optimization problem , point (geometry) , matrix (chemical analysis) , proximal gradient methods , matrix completion , gradient descent , mathematics , artificial intelligence , channel (broadcasting) , materials science , economic growth , mathematical analysis , computer network , financial economics , composite material , biology , geometry , quantum mechanics , evolutionary biology , gaussian , physics , economics

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