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SDCA without Duality

SDCA without Duality

22 February 2015
Shai Shalev-Shwartz
ArXivPDFHTML

Papers citing "SDCA without Duality"

14 / 14 papers shown
Title
Stochastic Nested Variance Reduction for Nonconvex Optimization
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou
Pan Xu
Quanquan Gu
25
146
0
20 Jun 2018
A Unified Analysis of Stochastic Optimization Methods Using Jump System
  Theory and Quadratic Constraints
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
Bin Hu
Peter M. Seiler
Anders Rantzer
35
35
0
25 Jun 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets
  with Finite-Sum Structure
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
A. Bietti
Julien Mairal
47
36
0
04 Oct 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Yossi Arjevani
Ohad Shamir
24
24
0
30 Jun 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
17
78
0
27 May 2016
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
31
54
0
23 May 2016
On the Iteration Complexity of Oblivious First-Order Optimization
  Algorithms
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
Yossi Arjevani
Ohad Shamir
34
33
0
11 May 2016
Fast Incremental Method for Nonconvex Optimization
Fast Incremental Method for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
33
44
0
19 Mar 2016
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Zeyuan Allen-Zhu
ODL
35
577
0
18 Mar 2016
Variance Reduction for Faster Non-Convex Optimization
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu
Elad Hazan
ODL
38
390
0
17 Mar 2016
On the Influence of Momentum Acceleration on Online Learning
On the Influence of Momentum Acceleration on Online Learning
Kun Yuan
Bicheng Ying
Ali H. Sayed
37
58
0
14 Mar 2016
Importance Sampling for Minibatches
Importance Sampling for Minibatches
Dominik Csiba
Peter Richtárik
32
113
0
06 Feb 2016
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
24
43
0
29 Oct 2015
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-Zhu
Yang Yuan
37
195
0
05 Jun 2015
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