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In this work we develop a new algorithm for regularized empirical risk minimization.
A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
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Proximal stochastic dual coordinate ascent
Shai Shalev-Shwartz and Tong Zhang · 2012
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Minimizing finite sums with the stochastic average gradient
Mark Schmidt, Nicolas Le Roux, and Francis Bach · 2013
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Stochastic dual coordinate ascent methods for regularized loss
Shai Shalev-Shwartz and Tong Zhang · 2013
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Accelerating stochastic gradient descent using predictive variance reduction
Rie Johnson and Tong Zhang · 2013
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Accelerated mini-batch stochastic dual coordinate ascent
Shai Shalev-Shwartz and Tong Zhang · 2013
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On optimal probabilities in stochastic coordinate descent methods
Peter Richtárik and Martin Takáč · 2013
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Distributed coordinate descent method for learning with big data
Peter Richtárik and Martin Takáč · 2013
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S2GD: Semi-stochastic gradient descent methods
Jakub Konečný and Peter Richtárik · 2014
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mS2GD: Mini-batch semi-stochastic gradient descent in the proximal setting
Jakub Konečný, Jie Lu, Peter Richtárik, and Martin Takáč · 2014
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SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives
Aaron Defazio, Francis Bach, and Simon Lacoste-Julien · 2014
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Semi-stochastic coordinate descent
Jakub Konečný, Zheng Qu, and Peter Richtárik · 2014
Coordinate Descent with Arbitrary Sampling II: Expected Separable Overapproximation
Zheng Qu and Peter Richtárik · 2014
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Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
Peter Richtárik and Martin Takáč · 2014
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Stochastic optimization with importance sampling
Peilin Zhao and Tong Zhang · 2015
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Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Shai Shalev-Shwartz and Tong Zhang · 2015
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Stochastic dual coordinate ascent with adaptive probabilities
Dominik Csiba, Zheng Qu, and Peter Richtárik · 2015
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Cited alongside, same era.
Randomized Dual Coordinate Ascent with Arbitrary Sampling
Zheng Qu, Peter Richtárik, and Tong Zhang · 2014
Cited alongside, same era.
Coordinate descent methods with arbitrary sampling I: Algorithms and complexity
Zheng Qu and Peter Richtárik · 2014
Cited alongside, same era.
Stochastic Dual Newton Ascent for empirical risk minimization
Zheng Qu, Peter Richtárik, Martin Takáč, and Olivier Fercoq
Cited in the paper.
Shai Shalev-Shwartz · 2015
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