A Novel Stochastic Stratified Average Gradient Method: Convergence Rate
and Its Complexity

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A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity

21 October 2017

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Papers citing "A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity"

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Title
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification Omid David N. Netanyahu 35 206 0 21 Nov 2017
Predicting Deeper into the Future of Semantic Segmentation Pauline Luc Natalia Neverova Camille Couprie Jakob Verbeek Yann LeCun 68 242 0 22 Mar 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 204 6,199 0 15 Sep 2016
Very Deep Convolutional Networks for Text Classification Alexis Conneau Holger Schwenk Loïc Barrault Yann LeCun AI4CE 63 320 0 06 Jun 2016
Very Deep Multilingual Convolutional Neural Networks for LVCSR Tom Sercu Christian Puhrsch Brian Kingsbury Yann LeCun 57 224 0 29 Sep 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,386 0 04 Sep 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 135 1,826 0 01 Jul 2014
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling P. Zhao Tong Zhang 76 91 0 13 May 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 324 1,249 0 10 Sep 2013
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 120 315 0 22 Jun 2011