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Fast Stochastic Methods for Nonsmooth Nonconvex Optimization

Fast Stochastic Methods for Nonsmooth Nonconvex Optimization

23 May 2016
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
ArXivPDFHTML

Papers citing "Fast Stochastic Methods for Nonsmooth Nonconvex Optimization"

12 / 12 papers shown
Title
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate
  Updates
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Tianlong Nan
Yuan Gao
Christian Kroer
25
2
0
01 Mar 2023
Double Quantization for Communication-Efficient Distributed Optimization
Double Quantization for Communication-Efficient Distributed Optimization
Yue Yu
Jiaxiang Wu
Longbo Huang
MQ
19
57
0
25 May 2018
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
33
479
0
21 Dec 2017
Accelerated Method for Stochastic Composition Optimization with
  Nonsmooth Regularization
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Zhouyuan Huo
Bin Gu
Ji Liu
Heng-Chiao Huang
43
50
0
10 Nov 2017
Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization
Feihu Huang
Songcan Chen
6
2
0
26 Apr 2017
Stochastic Alternating Direction Method of Multipliers with Variance
  Reduction for Nonconvex Optimization
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
Feihu Huang
Songcan Chen
Zhaosong Lu
30
14
0
10 Oct 2016
A SMART Stochastic Algorithm for Nonconvex Optimization with
  Applications to Robust Machine Learning
A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning
Aleksandr Aravkin
Damek Davis
25
21
0
04 Oct 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
139
1,205
0
16 Aug 2016
Online Nonnegative Matrix Factorization with General Divergences
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao
Vincent Y. F. Tan
Huan Xu
26
29
0
30 Jul 2016
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
32
139
0
27 Jul 2016
Guaranteed Non-convex Optimization: Submodular Maximization over
  Continuous Domains
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Yatao Bian
Baharan Mirzasoleiman
J. M. Buhmann
Andreas Krause
28
146
0
17 Jun 2016
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
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