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Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond

Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond

13 March 2023
Jaeyoung Cha
Jaewook Lee
Chulhee Yun
ArXivPDFHTML

Papers citing "Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond"

19 / 19 papers shown
Title
Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization
Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization
Shira Vansover-Hager
Tomer Koren
Roi Livni
20
0
0
13 May 2025
Better Rates for Random Task Orderings in Continual Linear Models
Better Rates for Random Task Orderings in Continual Linear Models
Itay Evron
Ran Levinstein
Matan Schliserman
Uri Sherman
Tomer Koren
Daniel Soudry
Nathan Srebro
CLL
30
0
0
06 Apr 2025
Randomised Splitting Methods and Stochastic Gradient Descent
Randomised Splitting Methods and Stochastic Gradient Descent
Luke Shaw
Peter A. Whalley
42
1
0
05 Apr 2025
Low-Rank Thinning
Low-Rank Thinning
Annabelle Michael Carrell
Albert Gong
Abhishek Shetty
Raaz Dwivedi
Lester W. Mackey
56
0
0
17 Feb 2025
Random Reshuffling for Stochastic Gradient Langevin Dynamics
Luke Shaw
Peter A. Whalley
75
3
0
28 Jan 2025
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical
  Framework for Low-Rank Adaptation
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation
Grigory Malinovsky
Umberto Michieli
Hasan Hammoud
Taha Ceritli
Hayder Elesedy
Mete Ozay
Peter Richtárik
AI4CE
22
1
0
10 Oct 2024
Demystifying SGD with Doubly Stochastic Gradients
Demystifying SGD with Doubly Stochastic Gradients
Kyurae Kim
Joohwan Ko
Yian Ma
Jacob R. Gardner
48
0
0
03 Jun 2024
On the Last-Iterate Convergence of Shuffling Gradient Methods
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu
Zhengyuan Zhou
26
2
0
12 Mar 2024
Last Iterate Convergence of Incremental Methods and Applications in
  Continual Learning
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning
Xu Cai
Jelena Diakonikolas
23
5
0
11 Mar 2024
High Probability Guarantees for Random Reshuffling
High Probability Guarantees for Random Reshuffling
Hengxu Yu
Xiao Li
24
2
0
20 Nov 2023
GraB-sampler: Optimal Permutation-based SGD Data Sampler for PyTorch
GraB-sampler: Optimal Permutation-based SGD Data Sampler for PyTorch
Guanghao Wei
GP
19
0
0
28 Sep 2023
Mini-Batch Optimization of Contrastive Loss
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho
Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
Jeong-Gwan Lee
Anna Lee
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
SSL
35
7
0
12 Jul 2023
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective
  and Improved Bounds
Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds
Xu Cai
Cheuk Yin Lin
Jelena Diakonikolas
FedML
26
5
0
21 Jun 2023
Distributed Random Reshuffling Methods with Improved Convergence
Distributed Random Reshuffling Methods with Improved Convergence
Kun-Yen Huang
Linli Zhou
Shi Pu
17
4
0
21 Jun 2023
On Convergence of Incremental Gradient for Non-Convex Smooth Functions
On Convergence of Incremental Gradient for Non-Convex Smooth Functions
Anastasia Koloskova
N. Doikov
Sebastian U. Stich
Martin Jaggi
29
2
0
30 May 2023
Fast Convergence of Random Reshuffling under Over-Parameterization and
  the Polyak-Łojasiewicz Condition
Fast Convergence of Random Reshuffling under Over-Parameterization and the Polyak-Łojasiewicz Condition
Chen Fan
Christos Thrampoulidis
Mark W. Schmidt
20
2
0
02 Apr 2023
On the Training Instability of Shuffling SGD with Batch Normalization
On the Training Instability of Shuffling SGD with Batch Normalization
David Wu
Chulhee Yun
S. Sra
24
4
0
24 Feb 2023
Coordinating Distributed Example Orders for Provably Accelerated
  Training
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper
Wentao Guo
Khiem Pham
Tiancheng Yuan
Charlie F. Ruan
Yucheng Lu
Chris De Sa
29
6
0
02 Feb 2023
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
14
2
0
17 Jul 2022
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