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A Convex Feature Learning Formulation for Latent Task Structure
  Discovery

A Convex Feature Learning Formulation for Latent Task Structure Discovery

18 June 2012
Pratik Jawanpuria
SakethaNath Jagarlapudi
ArXiv (abs)PDFHTML

Papers citing "A Convex Feature Learning Formulation for Latent Task Structure Discovery"

5 / 5 papers shown
Title
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
112
101
0
20 May 2010
High-Dimensional Non-Linear Variable Selection through Hierarchical
  Kernel Learning
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Francis R. Bach
BDL
185
73
0
04 Sep 2009
Clustered Multi-Task Learning: A Convex Formulation
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob
Francis R. Bach
Jean-Philippe Vert
119
510
0
11 Sep 2008
Exploring Large Feature Spaces with Hierarchical Multiple Kernel
  Learning
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
BDL
110
250
0
09 Sep 2008
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
472
869
0
07 Aug 2008
1