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Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample

Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample

28 January 2019
A. Berahas
Majid Jahani
Peter Richtárik
Martin Takávc
ArXivPDFHTML

Papers citing "Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample"

5 / 5 papers shown
Title
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
Newton Method-based Subspace Support Vector Data Description
Newton Method-based Subspace Support Vector Data Description
Fahad Sohrab
Firas Laakom
M. Gabbouj
11
5
0
25 Sep 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
30
40
0
07 Apr 2023
SHINE: SHaring the INverse Estimate from the forward pass for bi-level
  optimization and implicit models
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
Zaccharie Ramzi
Florian Mannel
Shaojie Bai
Jean-Luc Starck
P. Ciuciu
Thomas Moreau
29
28
0
01 Jun 2021
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
281
2,889
0
15 Sep 2016
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