Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized
Loss Minimization

Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization

10 September 2013

Shai Shalev-Shwartz

Tong Zhang

Papers citing "Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization"

17 / 67 papers shown

Title
SCOPE: Scalable Composite Optimization for Learning on Spark Shen-Yi Zhao Ru Xiang Yinghuan Shi Peng Gao Wu-Jun Li 16 16 0 30 Jan 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu Zheng Qu Peter Richtárik Yang Yuan 44 172 0 30 Dec 2015
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework Virginia Smith Simone Forte Michael I. Jordan Martin Jaggi 28 28 0 13 Dec 2015
Kalman-based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning V. Patel 17 35 0 03 Dec 2015
Stochastic modified equations and adaptive stochastic gradient algorithms Qianxiao Li Cheng Tai E. Weinan 30 279 0 19 Nov 2015
New Optimisation Methods for Machine Learning Aaron Defazio 44 6 0 09 Oct 2015
An optimal randomized incremental gradient method Guanghui Lan Yi Zhou 31 220 0 08 Jul 2015
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives Zeyuan Allen-Zhu Yang Yuan 21 195 0 05 Jun 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities Dominik Csiba Zheng Qu Peter Richtárik ODL 61 97 0 27 Feb 2015
SDCA without Duality Shai Shalev-Shwartz 27 47 0 22 Feb 2015
Adding vs. Averaging in Distributed Primal-Dual Optimization Chenxin Ma Virginia Smith Martin Jaggi Michael I. Jordan Peter Richtárik Martin Takáč FedML 26 176 0 12 Feb 2015
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss Yuchen Zhang Lin Xiao 38 72 0 01 Jan 2015
Accelerated Parallel Optimization Methods for Large Scale Machine Learning Haipeng Luo P. Haffner Jean-François Paiement 21 7 0 25 Nov 2014
A Lower Bound for the Optimization of Finite Sums Alekh Agarwal Léon Bottou 33 124 0 02 Oct 2014
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang Xiao Lin 43 261 0 10 Sep 2014
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing Quan Zhou Wenlin Chen Shiji Song Jacob R. Gardner Kilian Q. Weinberger Yixin Chen 16 44 0 06 Sep 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark W. Schmidt Nicolas Le Roux Francis R. Bach 76 1,243 0 10 Sep 2013