Open AccessAsynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization
Author(s) -
Zhouyuan Huo,
Heng Huang
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10940
Subject(s) - asynchronous communication , variance reduction , stochastic gradient descent , mnist database , rate of convergence , reduction (mathematics) , convex optimization , convergence (economics) , computer science , gradient descent , mathematical optimization , speedup , convex function , algorithm , mathematics , regular polygon , parallel computing , artificial neural network , artificial intelligence , statistics , computer network , channel (broadcasting) , geometry , monte carlo method , economics , economic growth
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