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Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning
  Rate and Momentum for Training Deep Neural Networks
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Hao Sun
Li Shen
Qihuang Zhong
Liang Ding
Shi-Yong Chen
Jingwei Sun
Jing Li
Guangzhong Sun
Dacheng Tao
98
34
0
01 Mar 2023
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
127
9
0
01 Aug 2022
Improving Transformers with Probabilistic Attention Keys
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen
T. Nguyen
Dung D. Le
Duy Khuong Nguyen
Viet-Anh Tran
Richard G. Baraniuk
Nhat Ho
Stanley J. Osher
129
33
0
16 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
88
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
94
61
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
62
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
89
30
0
26 Jul 2021
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained
  SDPs
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
Junhyung Lyle Kim
Jose Antonio Lara Benitez
Taha Toghani
Cameron R. Wolfe
Zhiwei Zhang
Anastasios Kyrillidis
62
0
0
16 Jun 2021
Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement
  Prediction
Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction
Kunal Bhardwaj
58
3
0
03 Jun 2021
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style
  Adaptive Momentum
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum
Bao Wang
Qiang Ye
ODL
99
14
0
03 Dec 2020
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
67
22
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
213
168
0
03 Jul 2020
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