Open AccessOn the almost sure convergence of stochastic gradient descent in non-convex problems
Author(s) -
Panayotis Mertikopoulos,
Nadav Hallak,
Ali Kavis,
Volkan Cevher
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - stochastic gradient descent , convergence (economics) , regular polygon , gradient descent , mathematics , descent (aeronautics) , convex function , mathematical optimization , computer science , artificial intelligence , artificial neural network , physics , economics , geometry , economic growth , meteorology
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