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2303.07160
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Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
13 March 2023
Jaeyoung Cha
Jaewook Lee
Chulhee Yun
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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
Shira Vansover-Hager
Tomer Koren
Roi Livni
20
0
0
13 May 2025
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
Luke Shaw
Peter A. Whalley
42
1
0
05 Apr 2025
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
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
Kyurae Kim
Joohwan Ko
Yian Ma
Jacob R. Gardner
48
0
0
03 Jun 2024
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
Xu Cai
Jelena Diakonikolas
23
5
0
11 Mar 2024
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
Guanghao Wei
GP
19
0
0
28 Sep 2023
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
Xu Cai
Cheuk Yin Lin
Jelena Diakonikolas
FedML
26
5
0
21 Jun 2023
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
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
Chen Fan
Christos Thrampoulidis
Mark W. Schmidt
20
2
0
02 Apr 2023
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
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
Pourya Behmandpoor
P. Latafat
Andreas Themelis
Marc Moonen
Panagiotis Patrinos
14
2
0
17 Jul 2022
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