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Random Shuffling Beats SGD after Finite Epochs

Random Shuffling Beats SGD after Finite Epochs

26 June 2018
Jeff Z. HaoChen
S. Sra
ArXivPDFHTML

Papers citing "Random Shuffling Beats SGD after Finite Epochs"

30 / 30 papers shown
Title
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
A. Banerjee
Qiaobo Li
Yingxue Zhou
52
0
0
11 Jun 2024
High Probability Guarantees for Random Reshuffling
High Probability Guarantees for Random Reshuffling
Hengxu Yu
Xiao Li
45
2
0
20 Nov 2023
Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex
  Optimization
Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization
Zhen Qin
Zhishuai Liu
Pan Xu
26
1
0
24 Oct 2023
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
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic
R. Waleffe
Vasilis Mageirakos
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
Nezihe Merve Gürel
Theodoros Rekatsinas
DD
53
12
0
28 May 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
Jaeyoung Cha
Jaewook Lee
Chulhee Yun
28
23
0
13 Mar 2023
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
31
6
0
15 Sep 2022
SPIRAL: A superlinearly convergent incremental proximal algorithm for
  nonconvex finite sum minimization
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
Pourya Behmandpoor
P. Latafat
Andreas Themelis
Marc Moonen
Panagiotis Patrinos
29
2
0
17 Jul 2022
On the Convergence to a Global Solution of Shuffling-Type Gradient
  Algorithms
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Lam M. Nguyen
Trang H. Tran
32
2
0
13 Jun 2022
GraB: Finding Provably Better Data Permutations than Random Reshuffling
GraB: Finding Provably Better Data Permutations than Random Reshuffling
Yucheng Lu
Wentao Guo
Christopher De Sa
FedML
26
16
0
22 May 2022
Federated Random Reshuffling with Compression and Variance Reduction
Federated Random Reshuffling with Compression and Variance Reduction
Grigory Malinovsky
Peter Richtárik
FedML
27
10
0
08 May 2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning
  Preprocessing Pipelines
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Alexander Isenko
R. Mayer
Jeffrey Jedele
Hans-Arno Jacobsen
19
23
0
17 Feb 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Trang H. Tran
K. Scheinberg
Lam M. Nguyen
40
11
0
07 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural
  Networks
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
R. Waleffe
J. Mohoney
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
32
25
0
04 Feb 2022
Characterizing & Finding Good Data Orderings for Fast Convergence of
  Sequential Gradient Methods
Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods
Amirkeivan Mohtashami
Sebastian U. Stich
Martin Jaggi
26
13
0
03 Feb 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
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz
  Inequality
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz Inequality
Xiao Li
Andre Milzarek
Junwen Qiu
24
20
0
10 Oct 2021
Optimal Rates for Random Order Online Optimization
Optimal Rates for Random Order Online Optimization
Uri Sherman
Tomer Koren
Yishay Mansour
21
8
0
29 Jun 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
Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
Chulhee Yun
S. Sra
Ali Jadbabaie
22
10
0
12 Mar 2021
Permutation-Based SGD: Is Random Optimal?
Permutation-Based SGD: Is Random Optimal?
Shashank Rajput
Kangwook Lee
Dimitris Papailiopoulos
28
14
0
19 Feb 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
SMG: A Shuffling Gradient-Based Method with Momentum
SMG: A Shuffling Gradient-Based Method with Momentum
Trang H. Tran
Lam M. Nguyen
Quoc Tran-Dinh
23
21
0
24 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum
  Optimization
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
Chaobing Song
Yong Jiang
Yi Ma
53
23
0
18 Jun 2020
SGD with shuffling: optimal rates without component convexity and large
  epoch requirements
SGD with shuffling: optimal rates without component convexity and large epoch requirements
Kwangjun Ahn
Chulhee Yun
S. Sra
16
66
0
12 Jun 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
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
Lam M. Nguyen
Quoc Tran-Dinh
Dzung Phan
Phuong Ha Nguyen
Marten van Dijk
39
78
0
19 Feb 2020
How Good is SGD with Random Shuffling?
How Good is SGD with Random Shuffling?
Itay Safran
Ohad Shamir
14
80
0
31 Jul 2019
Small ReLU networks are powerful memorizers: a tight analysis of
  memorization capacity
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Chulhee Yun
S. Sra
Ali Jadbabaie
28
117
0
17 Oct 2018
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