Fetching the paper…
Reading the bibliography…
Asynchronous parallel implementations for stochastic optimization have received huge successes in theory and practice recently.
Generalization of the cauchy-schwarz inequality
DK Callebaut · 1965
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
Earlier work this paper cites.
Solving large scale linear prediction problems using stochastic gradient descent algorithms
Tong Zhang · 2004
Earlier work this paper cites.
Nonlinear Optimization
Andrzej P Ruszczyński · 2006
Earlier work this paper cites.
The group-lasso for generalized linear models: uniqueness of solutions and efficient algorithms
Volker Roth and Bernd Fischer · 2008
Earlier work this paper cites.
Hogwild: A lock-free approach to parallelizing stochastic gradient descent
Benjamin Recht, Christopher Re, Stephen Wright, and Feng Niu · 2011
Earlier work this paper cites.
Block coordinate descent algorithms for large-scale sparse multiclass classification
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara · 2013
Earlier work this paper cites.
Stochastic first-and zeroth-order methods for nonconvex stochastic programming
Saeed Ghadimi and Guanghui Lan · 2013
Earlier work this paper cites.
Accelerating stochastic gradient descent using predictive variance reduction
Rie Johnson and Tong Zhang · 2013
Earlier work this paper cites.
Minimizing finite sums with the stochastic average gradient
Mark Schmidt, Nicolas Le Roux, and Francis Bach · 2013
Earlier work this paper cites.
An accelerated proximal coordinate gradient method
Qihang Lin, Zhaosong Lu, and Lin Xiao · 2014
Cited alongside, same era.
Stochastic proximal gradient descent with acceleration techniques
Atsushi Nitanda · 2014
Cited alongside, same era.
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Shai Shalev-Shwartz and Tong Zhang · 2014
Cited alongside, same era.
Randomized coordinate descent methods for big data optimization
Martin Takác · 2014
Cited alongside, same era.
A proximal stochastic gradient method with progressive variance reduction
Lin Xiao and Tong Zhang · 2014
Cited alongside, same era.
Accelerated mini-batch randomized block coordinate descent method
Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, and Han Liu · 2014
Asynchronous stochastic coordinate descent: Parallelism and convergence properties
Ji Liu and Stephen J Wright · 2015
Later among the works it cites.
An asynchronous parallel stochastic coordinate descent algorithm
Ji Liu, Stephen J Wright, Christopher Ré, Victor Bittorf, and Srikrishna Sridhar · 2015
Later among the works it cites.
On the complexity analysis of randomized block-coordinate descent methods
Zhaosong Lu and Lin Xiao · 2015
Later among the works it cites.
Perturbed iterate analysis for asynchronous stochastic optimization
Horia Mania, Xinghao Pan, Dimitris Papailiopoulos, Benjamin Recht, Kannan Ramchandran, and Michael I Jordan · 2015
Later among the works it cites.
On variance reduction in stochastic gradient descent and its asynchronous variants
Sashank J Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, and Alex J Smola · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Revisiting asynchronous linear solvers: Provable convergence rate through randomization
Haim Avron, Alex Druinsky, and Anshul Gupta · 2015
Cited alongside, same era.
Asynchronous stochastic convex optimization: the noise is in the noise and sgd don’t care
Sorathan Chaturapruek, John C Duchi, and Christopher Ré · 2015
Cited alongside, same era.
Passcode: Parallel asynchronous stochastic dual co-ordinate descent
Cho-Jui Hsieh, Hsiang-Fu Yu, and Inderjit S Dhillon · 2015
Cited alongside, same era.
Asynchronous parallel stochastic gradient for nonconvex optimization
Xiangru Lian, Yijun Huang, Yuncheng Li, and Ji Liu · 2015
Cited alongside, same era.
Asynchronous stochastic gradient descent with variance reduction for non-convex optimization
Zhouyuan Huo and Heng Huang
Cited in the paper.
Distributed asynchronous dual-free stochastic dual coordinate ascent
Zhouyuan Huo and Heng Huang
Cited in the paper.
Zhouyuan Huo, Bin Gu, and Heng Huang · 2016
Closest in time.
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, and Ji Liu · 2016
Closest in time.
Parallel coordinate descent methods for big data optimization
Peter Richtárik and Martin Takáč · 2016
Closest in time.
SDCA without duality, regularization, and individual convexity
Shai Shalev-Shwartz · 2016
Closest in time.
Fast asynchronous parallel stochastic gradient descent: A lock-free approach with convergence guarantee
Shen-Yi Zhao and Wu-Jun Li · 2016
Closest in time.