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All publications by Gilles Blanchard
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The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike V. Luxburg and Gilles Blanchard
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft and Gilles Blanchard
Advances in Neural Information Processing Systems 24, 2011


Generalizing from Several Related Classification Tasks to a New Unlabeled Sample
Gilles Blanchard, Gyemin Lee and Clayton Scott
Advances in Neural Information Processing Systems 24, 2011


Optimal learning rates for Kernel Conjugate Gradient regression
Gilles Blanchard and Nicole Krämer
Advances in Neural Information Processing Systems 23, 2010


Kernel Partial Least Squares is Universally Consistent
Gilles Blanchard and Nicole Krämer
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Adaptive False Discovery Rate Control under Independence and Dependence
Gilles Blanchard and Étienne Roquain
Journal of Machine Learning Research, 2009


Novelty detection: Unlabeled data definitely help
Clayton Scott and Gilles Blanchard
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


In Search of Non-Gaussian Components of a High-Dimensional Distribution
Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny and Klaus-robert Müller
Journal of Machine Learning Research, 2006


On the Convergence of Eigenspaces in Kernel Principal Component Analysis
Laurent Zwald and Gilles Blanchard
Advances in Neural Information Processing Systems 18, 2005


Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction
Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny and Klaus-robert Müller
Advances in Neural Information Processing Systems 18, 2005


Pattern Recognition from One Example by Chopping
Francois Fleuret and Gilles Blanchard
Advances in Neural Information Processing Systems 18, 2005


Kernel Projection Machine: a New Tool for Pattern Recognition
Laurent Zwald, Gilles Blanchard, Pascal Massart and Régis Vert
Advances in Neural Information Processing Systems 17, 2004


On the Rate of Convergence of Regularized Boosting Classifiers
Gilles Blanchard, Gábor Lugosi and Nicolas Vayatis
Journal of Machine Learning Research, 2003