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Proximal Stochastic Dual Coordinate Ascent

Proximal Stochastic Dual Coordinate Ascent

12 November 2012
Shai Shalev-Shwartz
Tong Zhang
ArXivPDFHTML

Papers citing "Proximal Stochastic Dual Coordinate Ascent"

7 / 7 papers shown
Title
Riemannian stochastic variance reduced gradient algorithm with
  retraction and vector transport
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport
Hiroyuki Sato
Hiroyuki Kasai
Bamdev Mishra
117
58
0
18 Feb 2017
Importance Sampling for Minibatches
Importance Sampling for Minibatches
Dominik Csiba
Peter Richtárik
98
115
0
06 Feb 2016
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
181
1,033
0
10 Sep 2012
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien
Martin Jaggi
Mark Schmidt
Patrick A. Pletscher
135
366
0
19 Jul 2012
A Stochastic Gradient Method with an Exponential Convergence Rate for
  Finite Training Sets
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
Nicolas Le Roux
Mark Schmidt
Francis R. Bach
ODL
68
104
0
28 Feb 2012
Regularization Techniques for Learning with Matrices
Regularization Techniques for Learning with Matrices
Sham Kakade
Shai Shalev-Shwartz
Ambuj Tewari
135
211
0
04 Oct 2009
Sparse Online Learning via Truncated Gradient
Sparse Online Learning via Truncated Gradient
John Langford
Lihong Li
Tong Zhang
151
486
0
28 Jun 2008
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