Open AccessCatalyst 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