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Accelerated Parallel Optimization Methods for Large Scale Machine
  Learning

Accelerated Parallel Optimization Methods for Large Scale Machine Learning

25 November 2014
Haipeng Luo
P. Haffner
Jean-François Paiement
ArXivPDFHTML

Papers citing "Accelerated Parallel Optimization Methods for Large Scale Machine Learning"

5 / 5 papers shown
Title
Convergence Properties of Stochastic Hypergradients
Convergence Properties of Stochastic Hypergradients
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
22
26
0
13 Nov 2020
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast
  Convergence
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
Nicolas Loizou
Sharan Vaswani
I. Laradji
Simon Lacoste-Julien
27
181
0
24 Feb 2020
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel A. Ward
Xiaoxia Wu
Léon Bottou
ODL
27
359
0
05 Jun 2018
Stochastic algorithms with descent guarantees for ICA
Stochastic algorithms with descent guarantees for ICA
Pierre Ablin
Alexandre Gramfort
J. Cardoso
Francis R. Bach
CML
10
7
0
25 May 2018
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
84
3,176
0
15 Jun 2016
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