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1908.02725
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Towards closing the gap between the theory and practice of SVRG
Neural Information Processing Systems (NeurIPS), 2019
31 July 2019
Othmane Sebbouh
Nidham Gazagnadou
Samy Jelassi
Francis R. Bach
Robert Mansel Gower
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Papers citing
"Towards closing the gap between the theory and practice of SVRG"
14 / 14 papers shown
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
Yao Shu
Jiongfeng Fang
Y. He
Fei Richard Yu
175
0
0
18 Feb 2024
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
Neural Information Processing Systems (NeurIPS), 2023
S. Choudhury
Eduard A. Gorbunov
Nicolas Loizou
343
17
0
27 Feb 2023
Faster federated optimization under second-order similarity
International Conference on Learning Representations (ICLR), 2022
Ahmed Khaled
Chi Jin
FedML
317
25
0
06 Sep 2022
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization
Mathematical and Scientific Machine Learning (MSML), 2021
Laurent Condat
Peter Richtárik
323
21
0
06 Jun 2021
SVRG Meets AdaGrad: Painless Variance Reduction
Machine-mediated learning (ML), 2021
Benjamin Dubois-Taine
Sharan Vaswani
Reza Babanezhad
Mark Schmidt
Damien Scieur
281
24
0
18 Feb 2021
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
Jinshan Zeng
Yixuan Zha
Ke Ma
Xingtai Lv
352
0
0
01 Jan 2021
Variance-Reduced Methods for Machine Learning
Proceedings of the IEEE (Proc. IEEE), 2020
Robert Mansel Gower
Mark Schmidt
Francis R. Bach
Peter Richtárik
319
150
0
02 Oct 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games
International Conference on Machine Learning (ICML), 2020
Nicolas Loizou
Hugo Berard
Alexia Jolicoeur-Martineau
Pascal Vincent
Damien Scieur
Alexia Jolicoeur-Martineau
212
53
0
08 Jul 2020
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization
Ahmed Khaled
Othmane Sebbouh
Nicolas Loizou
Robert Mansel Gower
Peter Richtárik
251
56
0
20 Jun 2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
Robert Mansel Gower
Othmane Sebbouh
Nicolas Loizou
454
95
0
18 Jun 2020
Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
Othmane Sebbouh
Robert Mansel Gower
Aaron Defazio
187
23
0
14 Jun 2020
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
Asian Conference on Machine Learning (ACML), 2020
Aaron Defazio
Robert Mansel Gower
330
9
0
01 Jun 2020
Improved SVRG for quadratic functions
N. Kahalé
275
0
0
01 Jun 2020
Sampling and Update Frequencies in Proximal Variance-Reduced Stochastic Gradient Methods
Journal of Optimization Theory and Applications (JOTA), 2020
Martin Morin
Pontus Giselsson
194
4
0
13 Feb 2020
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