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Learning with Smooth Hinge Losses
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Learning with Smooth Hinge Losses

Junru Luo
Hong Qiao
Bo Zhang
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Papers citing "Learning with Smooth Hinge Losses"

8 / 8 papers shown
Title
Nonparametric estimation of Hawkes processes with RKHSs
Nonparametric estimation of Hawkes processes with RKHSs
Anna Bonnet
Maxime Sangnier
93
0
0
01 Nov 2024
Distributed Inference for Linear Support Vector Machine
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
80
65
0
29 Nov 2018
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang
Bin Hong
Wei Liu
Jieping Ye
Deng Cai
Xiaofei He
Jie Wang
88
38
0
24 Jul 2016
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
Aaron Defazio
T. Caetano
Justin Domke
115
169
0
10 Jul 2014
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
139
1,830
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
331
1,250
0
10 Sep 2013
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
ODL
115
463
0
10 Sep 2013
Cost-Sensitive Support Vector Machines
Cost-Sensitive Support Vector Machines
Hamed Masnadi-Shirazi
Nuno Vasconcelos
Arya Iranmehr
87
182
0
05 Dec 2012