Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

26 July 2019

Xiang Li

Guansheng Zheng

Heng-Chiao Huang

Papers citing "Scalable Semi-Supervised SVM via Triply Stochastic Gradients"

8 / 8 papers shown

Title
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization Wanli Shi Bin Gu Xiang Li Xiang Geng Heng-Chiao Huang 42 15 0 29 Jul 2019
Learning with SGD and Random Features Luigi Carratino Alessandro Rudi Lorenzo Rosasco 50 77 0 17 Jul 2018
Training Neural Networks Using Features Replay Zhouyuan Huo Bin Gu Heng-Chiao Huang 55 69 0 12 Jul 2018
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 85 598 0 19 Mar 2016
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients Bo Xie Yingyu Liang Le Song 33 43 0 14 Apr 2015
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 111 230 0 21 Jul 2014
Randomized Nonlinear Component Analysis David Lopez-Paz S. Sra Alex Smola Zoubin Ghahramani Bernhard Schölkopf 96 176 0 01 Feb 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 100 1,538 0 22 Sep 2013