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Randomized Dual Coordinate Ascent with Arbitrary Sampling

Randomized Dual Coordinate Ascent with Arbitrary Sampling

21 November 2014
Zheng Qu
Peter Richtárik
Tong Zhang
ArXivPDFHTML

Papers citing "Randomized Dual Coordinate Ascent with Arbitrary Sampling"

10 / 10 papers shown
Title
Safe Adaptive Importance Sampling
Safe Adaptive Importance Sampling
Sebastian U. Stich
Anant Raj
Martin Jaggi
27
54
0
07 Nov 2017
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Zeyuan Allen-Zhu
Zheng Qu
Peter Richtárik
Yang Yuan
44
172
0
30 Dec 2015
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konecný
Jie Liu
Peter Richtárik
Martin Takáč
ODL
28
273
0
16 Apr 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dominik Csiba
Zheng Qu
Peter Richtárik
ODL
61
97
0
27 Feb 2015
Adding vs. Averaging in Distributed Primal-Dual Optimization
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma
Virginia Smith
Martin Jaggi
Michael I. Jordan
Peter Richtárik
Martin Takáč
FedML
29
176
0
12 Feb 2015
Coordinate Descent with Arbitrary Sampling II: Expected Separable
  Overapproximation
Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation
Zheng Qu
Peter Richtárik
41
83
0
27 Dec 2014
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk
  Minimization
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Yuchen Zhang
Xiao Lin
43
261
0
10 Sep 2014
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to
  Large-Scale Machine Learning
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
79
317
0
18 Feb 2014
Minimizing Finite Sums with the Stochastic Average Gradient
Minimizing Finite Sums with the Stochastic Average Gradient
Mark W. Schmidt
Nicolas Le Roux
Francis R. Bach
79
1,243
0
10 Sep 2013
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