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Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

24 February 2020
Bao Wang
T. Nguyen
Andrea L. Bertozzi
Richard G. Baraniuk
Stanley J. Osher
    ODL
ArXivPDFHTML

Papers citing "Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent"

12 / 12 papers shown
Title
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
40
3
0
18 Oct 2024
Momentum Transformer: Closing the Performance Gap Between Self-attention
  and Its Linearization
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization
T. Nguyen
Richard G. Baraniuk
Robert M. Kirby
Stanley J. Osher
Bao Wang
44
9
0
01 Aug 2022
An Adaptive Gradient Method with Energy and Momentum
An Adaptive Gradient Method with Energy and Momentum
Hailiang Liu
Xuping Tian
ODL
21
9
0
23 Mar 2022
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
Justin Baker
E. Cherkaev
A. Narayan
Bao Wang
AI4CE
24
4
0
24 Feb 2022
Training Deep Neural Networks with Adaptive Momentum Inspired by the
  Quadratic Optimization
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization
Tao Sun
Huaming Ling
Zuoqiang Shi
Dongsheng Li
Bao Wang
ODL
27
13
0
18 Oct 2021
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix
  Completion
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion
Zhemin Li
Tao Sun
Hongxia Wang
Bao Wang
52
6
0
12 Oct 2021
Heavy Ball Neural Ordinary Differential Equations
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia
Vai Suliafu
H. Ji
T. Nguyen
Andrea L. Bertozzi
Stanley J. Osher
Bao Wang
45
56
0
10 Oct 2021
Accelerated Componentwise Gradient Boosting using Efficient Data
  Representation and Momentum-based Optimization
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization
Daniel Schalk
B. Bischl
David Rügamer
27
3
0
07 Oct 2021
Accelerated Gradient Descent Learning over Multiple Access Fading
  Channels
Accelerated Gradient Descent Learning over Multiple Access Fading Channels
Raz Paul
Yuval Friedman
Kobi Cohen
32
30
0
26 Jul 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
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
47
162
0
03 Jul 2020
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,157
0
04 Mar 2015
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