Parallel and distributed asynchronous adaptive stochastic gradient methods

21 February 2020

Papers citing "Parallel and distributed asynchronous adaptive stochastic gradient methods"

7 / 7 papers shown

Title
Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo Yuanhao Xiong Yan Liu Xu Sun ODL 23 600 0 26 Feb 2019
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization Parvin Nazari Davoud Ataee Tarzanagh George Michailidis ODL 41 67 0 25 Jan 2019
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization Dongruo Zhou Yiqi Tang Yuan Cao Ziyan Yang Quanquan Gu 25 150 0 16 Aug 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen Dongruo Zhou Yiqi Tang Ziyan Yang Yuan Cao Quanquan Gu ODL 37 193 0 18 Jun 2018
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates Zhimin Peng Yangyang Xu Ming Yan W. Yin 38 258 0 08 Jun 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 111 4,653 0 21 Dec 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 34 1,538 0 22 Sep 2013