Active Bibliography

18 High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning – Francis Bach - 2009
2. Function space / normRegularizations – Francis Bach, Special Thanks To R. Jenatton, J. Mairal, G. Obozinski Supervised Learning, Data Xi X, Yi Y, Function Space Norm - 2009
162 Consistency of the group lasso and multiple kernel learning – Francis R. Bach - 2007
STRUCTURED PRIORS FOR SUPERVISED LEARNING IN COMPUTATIONAL BIOLOGY – Docteur De, Supérieure Des, Mines De Paris, Laurent Jacob, M. Didier, Rognan Université, M. Francis, Bach Inria, École Normale, Supérieure Examinateur, Vert Mines, Paristech Examinateur, Copyright Laurent Jacob
3 Structured Sparsity through Convex Optimization – Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
Learning with Sparsity-Inducing Norms – Francis Bach - 2008
• Specifity: exchanges between theory / algorithms / applications – Francis Bach, Unsupervised Learning, Function Space Norm
97 Structured variable selection with sparsity-inducing norms – Rodolphe Jenatton, Jean-yves Audibert, Francis Bach, Bin Yu - 904
Journal of Machine Learning Research X (2008) 1-34 Submitted 01/08; Revised 08/08; Published XX/XX – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet, Nello Cristianini
5 SimpleMKL – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet - 2008
Learning with Unlabeled Data – Xu Zenglin
1 Model-Consistent Sparse Estimation through the Bootstrap – Francis Bach - 2009
• Unsupervised learning – Francis Bach
– Groups of features / Multiple kernel learning – Francis Bach, Function Space Norm - 2010
Abstract – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Universität Tübingen, Klaus-robert Müller, Alexander Zien
22 ℓp-norm multiple kernel learning – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Technische Universität, Alexander Zien, Francis Bach - 2011
43 Hiroshi Imai and Masao Iri. Polygonal approximations of a curve – formulations and algorithms – Francis R. Bach - 1988
153 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
1 Learning to Integrate Data from Different Sources and Tasks – Andreas Argyriou - 2007