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Stochastic Learning under Random Reshuffling with Constant Step-sizes

Stochastic Learning under Random Reshuffling with Constant Step-sizes

21 March 2018
Bicheng Ying
Kun Yuan
Stefan Vlaski
Ali H. Sayed
ArXivPDFHTML

Papers citing "Stochastic Learning under Random Reshuffling with Constant Step-sizes"

8 / 8 papers shown
Title
Distributed Random Reshuffling Methods with Improved Convergence
Distributed Random Reshuffling Methods with Improved Convergence
Kun-Yen Huang
Linli Zhou
Shi Pu
24
4
0
21 Jun 2023
Federated Random Reshuffling with Compression and Variance Reduction
Federated Random Reshuffling with Compression and Variance Reduction
Grigory Malinovsky
Peter Richtárik
FedML
29
10
0
08 May 2022
Distributed Random Reshuffling over Networks
Distributed Random Reshuffling over Networks
Kun-Yen Huang
Xiao Li
Andre Milzarek
Shi Pu
Junwen Qiu
39
11
0
31 Dec 2021
Random-reshuffled SARAH does not need a full gradient computations
Random-reshuffled SARAH does not need a full gradient computations
Aleksandr Beznosikov
Martin Takáč
28
7
0
26 Nov 2021
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned
  Problems
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran
Ohad Shamir
33
19
0
12 Jun 2021
Incremental Without Replacement Sampling in Nonconvex Optimization
Incremental Without Replacement Sampling in Nonconvex Optimization
Edouard Pauwels
38
5
0
15 Jul 2020
Random Reshuffling: Simple Analysis with Vast Improvements
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko
Ahmed Khaled
Peter Richtárik
37
131
0
10 Jun 2020
How Good is SGD with Random Shuffling?
How Good is SGD with Random Shuffling?
Itay Safran
Ohad Shamir
19
80
0
31 Jul 2019
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