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Optimization Methods for Large-Scale Machine Learning

Optimization Methods for Large-Scale Machine Learning

15 June 2016
Léon Bottou
Frank E. Curtis
J. Nocedal
ArXivPDFHTML

Papers citing "Optimization Methods for Large-Scale Machine Learning"

6 / 1,406 papers shown
Title
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
17
85
0
30 May 2016
FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
Xiang Cheng
Farbod Roosta-Khorasani
Stefan Palombo
Peter L. Bartlett
Michael W. Mahoney
ODL
17
0
0
26 May 2016
A Multi-Batch L-BFGS Method for Machine Learning
A Multi-Batch L-BFGS Method for Machine Learning
A. Berahas
J. Nocedal
Martin Takáč
ODL
18
110
0
19 May 2016
The Proximal Robbins-Monro Method
The Proximal Robbins-Monro Method
Panos Toulis
Thibaut Horel
E. Airoldi
24
30
0
04 Oct 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
54
2,750
0
20 Feb 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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