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A Smoothing Stochastic Gradient Method for Composite Optimization

A Smoothing Stochastic Gradient Method for Composite Optimization

31 August 2010
Qihang Lin
Xi Chen
Javier F. Pena
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Papers citing "A Smoothing Stochastic Gradient Method for Composite Optimization"

5 / 5 papers shown
Title
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Jun Liu
Shuiwang Ji
Jieping Ye
133
732
0
09 May 2012
Smoothing Proximal Gradient Method for General Structured Sparse
  Learning
Smoothing Proximal Gradient Method for General Structured Sparse Learning
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric Xing
91
97
0
14 Feb 2012
Smoothing proximal gradient method for general structured sparse
  regression
Smoothing proximal gradient method for general structured sparse regression
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric Xing
147
233
0
26 May 2010
Graph-Structured Multi-task Regression and an Efficient Optimization
  Method for General Fused Lasso
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
Xinyu Chen
Seyoung Kim
Qihang Lin
J. Carbonell
Eric Xing
91
100
0
20 May 2010
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
187
607
0
22 Apr 2009
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