Gilles Blanchard
Gilles Blanchard
Professor of Statistics, University of Paris-Saclay
Email verificata su - Home page
Citata da
Citata da
Semi-supervised novelty detection
G Blanchard, G Lee, C Scott
Journal of Machine Learning Research 11, 2973-3009, 2010
Statistical performance of support vector machines
G Blanchard, O Bousquet, P Massart
The Annals of Statistics 36 (2), 489-531, 2008
Classification with asymmetric label noise: Consistency and maximal denoising
C Scott, G Blanchard, G Handy
Conference on Learning Theory (COLT 2013), 489-511, 2013
Adaptive false discovery rate control under independence and dependence
G Blanchard, É Roquain
Journal of Machine Learning Research 10, 2837-2871, 2009
BCI competition 2003-data set IIa: spatial patterns of self-controlled brain rhythm modulations
G Blanchard, B Blankertz
IEEE Transactions on Biomedical Engineering 51 (6), 1062-1066, 2004
On the rate of convergence of regularized boosting classifiers
G Blanchard, G Lugosi, N Vayatis
Journal of Machine Learning Research 4, 861-894, 2003
Statistical properties of kernel principal component analysis
G Blanchard, O Bousquet, L Zwald
Machine Learning 66 (2-3), 259-294, 2007
On the convergence of eigenspaces in kernel principal component analysis
L Zwald, G Blanchard
Advances in Neural Information Processing Systems (NIPS 2005) 18, 1649-1656, 2006
Generalizing from several related classification tasks to a new unlabeled sample
G Blanchard, G Lee, C Scott
Advances in neural information processing systems (NIPS 2011), 2178-2186, 2011
Hierarchical testing designs for pattern recognition
G Blanchard, D Geman
The Annals of Statistics 33 (3), 1155-1202, 2005
Two simple sufficient conditions for FDR control
G Blanchard, E Roquain
Electronic journal of statistics 2, 963-992, 2008
In search of non-Gaussian components of a high-dimensional distribution
G Blanchard, M Kawanabe, M Sugiyama, V Spokoiny, KR Müller
Journal of Machine Learning Research 7, 247-282, 2006
Optimal rates for regularization of statistical inverse learning problems
G Blanchard, N Mücke
Foundations of Computational Mathematics 18 (4), 971-1013, 2018
Novelty detection: Unlabeled data definitely help
C Scott, G Blanchard
AISTATS 2009, 464-471, 2009
Optimal learning rates for kernel conjugate gradient regression
G Blanchard, N Krämer
Advances in Neural Information Processing Systems (NIPS 2010), 226-234, 2010
Optimal dyadic decision trees
G Blanchard, C Schäfer, Y Rozenholc, KR Müller
Machine Learning 66 (2-3), 209-241, 2007
Exemplar-based image inpainting: Fast priority and coherent nearest neighbor search
R Martínez-Noriega, A Roumy, G Blanchard
2012 IEEE International workshop on machine learning for signal processing, 1-6, 2012
The local Rademacher complexity of lp-norm multiple kernel learning
M Kloft, G Blanchard
Advances in Neural Information Processing Systems (NIPS 2011), 2438-2446, 2011
Some nonasymptotic results on resampling in high dimension, I: Confidence regions
S Arlot, G Blanchard, E Roquain
The Annals of Statistics 38 (1), 51-82, 2010
Compressive statistical learning with random feature moments
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
arXiv preprint arXiv:1706.07180, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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