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Scalable Adaptive Stochastic Optimization Using Random Projections

Scalable Adaptive Stochastic Optimization Using Random Projections

21 November 2016
Gabriel Krummenacher
Brian McWilliams
Yannic Kilcher
J. M. Buhmann
N. Meinshausen
    ODL
ArXiv (abs)PDFHTML

Papers citing "Scalable Adaptive Stochastic Optimization Using Random Projections"

6 / 6 papers shown
Title
Efficient Second Order Online Learning by Sketching
Efficient Second Order Online Learning by Sketching
Haipeng Luo
Alekh Agarwal
Nicolò Cesa-Bianchi
John Langford
69
96
0
06 Feb 2016
Variance Reduced Stochastic Gradient Descent with Neighbors
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann
Aurelien Lucchi
Simon Lacoste-Julien
Brian McWilliams
ODL
72
153
0
11 Jun 2015
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
C. Heinze
Brian McWilliams
N. Meinshausen
106
37
0
08 Jun 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens
Roger C. Grosse
ODL
104
1,023
0
19 Mar 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
135
1,828
0
01 Jul 2014
A Stochastic Quasi-Newton Method for Large-Scale Optimization
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. Byrd
Samantha Hansen
J. Nocedal
Y. Singer
ODL
108
473
0
27 Jan 2014
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