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Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex
  Losses

Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses

7 June 2015
Dominik Csiba
Peter Richtárik
ArXiv (abs)PDFHTML

Papers citing "Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses"

13 / 13 papers shown
Title
SGD: General Analysis and Improved Rates
SGD: General Analysis and Improved Rates
Robert Mansel Gower
Nicolas Loizou
Xun Qian
Alibek Sailanbayev
Egor Shulgin
Peter Richtárik
109
383
0
27 Jan 2019
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are
  Better Without the Outer Loop
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop
D. Kovalev
Samuel Horváth
Peter Richtárik
122
156
0
24 Jan 2019
SAGA with Arbitrary Sampling
SAGA with Arbitrary Sampling
Xun Qian
Zheng Qu
Peter Richtárik
88
26
0
24 Jan 2019
Stochastic, Distributed and Federated Optimization for Machine Learning
Stochastic, Distributed and Federated Optimization for Machine Learning
Jakub Konecný
FedML
83
38
0
04 Jul 2017
IS-ASGD: Accelerating Asynchronous SGD using Importance Sampling
IS-ASGD: Accelerating Asynchronous SGD using Importance Sampling
Fei Wang
Jun Ye
Weichen Li
Guihai Chen
88
1
0
26 Jun 2017
Federated Optimization: Distributed Machine Learning for On-Device
  Intelligence
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
184
1,914
0
08 Oct 2016
Efficient Estimation of Partially Linear Models for Spatial Data over
  Complex Domain
Efficient Estimation of Partially Linear Models for Spatial Data over Complex Domain
Elad Hazan
Chi Jin
Cameron Musco
Praneeth Netrapalli
101
78
0
27 May 2016
Importance Sampling for Minibatches
Importance Sampling for Minibatches
Dominik Csiba
Peter Richtárik
111
117
0
06 Feb 2016
SDCA without Duality, Regularization, and Individual Convexity
SDCA without Duality, Regularization, and Individual Convexity
Shai Shalev-Shwartz
63
104
0
04 Feb 2016
Distributed Optimization with Arbitrary Local Solvers
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma
Jakub Konecný
Martin Jaggi
Virginia Smith
Michael I. Jordan
Peter Richtárik
Martin Takáč
134
197
0
13 Dec 2015
Robust Shift-and-Invert Preconditioning: Faster and More Sample
  Efficient Algorithms for Eigenvector Computation
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation
Chi Jin
Sham Kakade
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
78
43
0
29 Oct 2015
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
Zheng Qu
Peter Richtárik
Martin Takáč
Olivier Fercoq
ODL
131
99
0
08 Feb 2015
On Optimal Probabilities in Stochastic Coordinate Descent Methods
On Optimal Probabilities in Stochastic Coordinate Descent Methods
Peter Richtárik
Martin Takáč
125
129
0
13 Oct 2013
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