Fast Variance Reduction Method with Stochastic Batch Size

7 August 2018

Papers citing "Fast Variance Reduction Method with Stochastic Batch Size"

9 / 9 papers shown

Title
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 424 2,937 0 15 Sep 2016
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 111 196 0 23 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 133 1,826 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 153 738 0 19 Mar 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 321 1,248 0 10 Sep 2013
Mini-Batch Primal and Dual Methods for SVMs Martin Takáč A. Bijral Peter Richtárik Nathan Srebro 68 195 0 10 Mar 2013
Parallel Coordinate Descent Methods for Big Data Optimization Peter Richtárik Martin Takáč 127 487 0 04 Dec 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 181 1,033 0 10 Sep 2012
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 193 2,200 0 24 Jun 2012