Gilles Blanchard
Gilles Blanchard
Professor of Statistics, University of Paris-Saclay
Verified email at - Homepage
Cited by
Cited by
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
Semi-supervised novelty detection
G Blanchard, G Lee, C Scott
Journal of Machine Learning Research 11, 2973-3009, 2010
Domain generalization by marginal transfer learning
G Blanchard, AA Deshmukh, U Dogan, G Lee, C Scott
Journal of Machine Learning Research 22, 1-55, 2021
Classification with asymmetric label noise: Consistency and maximal denoising
C Scott, G Blanchard, G Handy
Conference on Learning Theory (COLT 2013), 489-511, 2013
Statistical performance of support vector machines
G Blanchard, O Bousquet, P Massart
The Annals of Statistics 36 (2), 489-531, 2008
Adaptive false discovery rate control under independence and dependence
G Blanchard, É Roquain
Journal of Machine Learning Research 10, 2837-2871, 2009
Statistical properties of kernel principal component analysis
G Blanchard, O Bousquet, L Zwald
Machine Learning 66 (2-3), 259-294, 2007
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 convergence of eigenspaces in kernel principal component analysis
L Zwald, G Blanchard
Advances in Neural Information Processing Systems (NIPS 2005) 18, 1649-1656, 2006
On the rate of convergence of regularized boosting classifiers
G Blanchard, G Lugosi, N Vayatis
Journal of Machine Learning Research 4, 861-894, 2003
Optimal rates for regularization of statistical inverse learning problems
G Blanchard, N Mücke
Foundations of Computational Mathematics 18 (4), 971-1013, 2018
Two simple sufficient conditions for FDR control
G Blanchard, E Roquain
Electronic journal of statistics 2, 963-992, 2008
Hierarchical testing designs for pattern recognition
G Blanchard, D Geman
The Annals of Statistics 33 (3), 1155-1202, 2005
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 learning rates for kernel conjugate gradient regression
G Blanchard, N Krämer
Advances in Neural Information Processing Systems (NIPS 2010), 226-234, 2010
Novelty detection: Unlabeled data definitely help
C Scott, G Blanchard
AISTATS 2009, 464-471, 2009
Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies
B Mieth, M Kloft, JA Rodríguez, S Sonnenburg, R Vobruba, ...
Scientific reports 6 (1), 36671, 2016
Compressive statistical learning with random feature moments
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
Mathematical Statistics and Learning 3 (2), 113-164, 2021
Post hoc confidence bounds on false positives using reference families
G Blanchard, P Neuvial, E Roquain
Annals of Statistics 48 (3), 1281-1303, 2020
Parallelizing spectrally regularized kernel algorithms
N Mücke, G Blanchard
Journal of Machine Learning Research 19 (30), 1-29, 2018
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