Gilles Blanchard

2008
16	EE	Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller: Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. IEICE Transactions 91-D(5): 1577-1580 (2008)
2007
15	EE	Gilles Blanchard, François Fleuret: Occam's Hammer. COLT 2007: 112-126
14	EE	Sylvain Arlot, Gilles Blanchard, Étienne Roquain: Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector. COLT 2007: 127-141
13	EE	Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert Müller: Optimal dyadic decision trees. Machine Learning 66(2-3): 209-241 (2007)
12	EE	Gilles Blanchard, Olivier Bousquet, Laurent Zwald: Statistical properties of kernel principal component analysis. Machine Learning 66(2-3): 259-294 (2007)
2006
11	EE	Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller: A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA 2006: 149-156
10	EE	Gilles Blanchard, François Fleuret: Occam's hammer: a link between randomized learning and multiple testing FDR control CoRR abs/math/0608713: (2006)
9	EE	Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller: In Search of Non-Gaussian Components of a High-Dimensional Distribution. Journal of Machine Learning Research 7: 247-282 (2006)
2005
8	EE	Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller: Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS 2005
7	EE	Laurent Zwald, Gilles Blanchard: On the Convergence of Eigenspaces in Kernel Principal Component Analysis. NIPS 2005
6	EE	François Fleuret, Gilles Blanchard: Pattern Recognition from One Example by Chopping. NIPS 2005
2004
5	EE	Gilles Blanchard, Christin Schäfer, Yves Rozenholc: Oracle Bounds and Exact Algorithm for Dyadic Classification Trees. COLT 2004: 378-392
4	EE	Laurent Zwald, Olivier Bousquet, Gilles Blanchard: Statistical Properties of Kernel Principal Component Analysis. COLT 2004: 594-608
3	EE	Laurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart: Kernel Projection Machine: a New Tool for Pattern Recognition. NIPS 2004
2	EE	Gilles Blanchard: Different Paradigms for Choosing Sequential Reweighting Algorithms. Neural Computation 16(4): 811-836 (2004)
2003
1	EE	Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis: On the Rate of Convergence of Regularized Boosting Classifiers. Journal of Machine Learning Research 4: 861-894 (2003)

Coauthor Index

1	Sylvain Arlot	[14]
2	Olivier Bousquet	[4] [12]
3	François Fleuret	[6] [10] [15]
4	Motoaki Kawanabe	[8] [9] [11] [16]
5	Gábor Lugosi	[1]
6	Pascal Massart	[3]
7	Klaus-Robert Müller	[8] [9] [11] [13] [16]
8	Étienne Roquain	[14]
9	Yves Rozenholc	[5] [13]
10	Christin Schäfer	[5] [13]
11	Vladimir Spokoiny	[8] [9] [11]
12	Masashi Sugiyama	[8] [9] [11] [16]
13	Nicolas Vayatis	[1]
14	Régis Vert	[3]
15	Laurent Zwald	[3] [4] [7] [12]

Colors in the list of coauthors