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ADASS: Adaptive Sample Selection for Training Acceleration

ADASS: Adaptive Sample Selection for Training Acceleration

11 June 2019
Shen-Yi Zhao
Hao Gao
Wu-Jun Li
ArXivPDFHTML

Papers citing "ADASS: Adaptive Sample Selection for Training Acceleration"

4 / 4 papers shown
Title
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dominik Csiba
Zheng Qu
Peter Richtárik
ODL
90
97
0
27 Feb 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
112
1,817
0
01 Jul 2014
Minimizing Finite Sums with the Stochastic Average Gradient
Minimizing Finite Sums with the Stochastic Average Gradient
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
271
1,246
0
10 Sep 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
133
1,031
0
10 Sep 2012
1