High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning

4 September 2009

Papers citing "High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning"

9 / 9 papers shown

Title
Some sharp performance bounds for least squares regression with $L_1$ regularization Tong Zhang 123 267 0 20 Aug 2009
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 150 606 0 22 Apr 2009
Learning with Structured Sparsity Junzhou Huang Tong Zhang Dimitris N. Metaxas 167 565 0 17 Mar 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 265 292 0 09 Mar 2009
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning Francis R. Bach BDL 83 250 0 09 Sep 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 192 879 0 01 Jun 2008
Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaïd Harchaoui Francis R. Bach Eric Moulines 67 118 0 07 Apr 2008
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators Karim Lounici 194 241 0 30 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 282 2,527 0 07 Jan 2008