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Losing momentum in continuous-time stochastic optimisation

Losing momentum in continuous-time stochastic optimisation

8 September 2022
Kexin Jin
J. Latz
Chenguang Liu
Alessandro Scagliotti
ArXivPDFHTML

Papers citing "Losing momentum in continuous-time stochastic optimisation"

4 / 4 papers shown
Title
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Satyen Kale
Ayush Sekhari
Karthik Sridharan
196
29
0
11 Jul 2021
A Simple Convergence Proof of Adam and Adagrad
A Simple Convergence Proof of Adam and Adagrad
Alexandre Défossez
Léon Bottou
Francis R. Bach
Nicolas Usunier
56
146
0
05 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,896
0
15 Sep 2016
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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