Blanchard, Gilles

38 publications

NeurIPS 2025 Transductive Conformal Inference for Full Ranking Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard

AISTATS 2024 Transductive Conformal Inference with Adaptive Scores Ulysse Gazin, Gilles Blanchard, Etienne Roquain

ALT 2023 Constant Regret for Sequence Prediction with Limited Advice El Mehdi Saad, Gilles Blanchard

NeurIPS 2023 Covariance-Adaptive Best Arm Identification El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen

ECML-PKDD 2023 Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif

JMLR 2022 Topologically Penalized Regression on Manifolds Olympio Hacquard, Krishnakumar Balasubramanian, Gilles Blanchard, Clément Levrard, Wolfgang Polonik

AISTATS 2021 High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard

JMLR 2021 Domain Generalization by Marginal Transfer Learning Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan, Gyemin Lee, Clayton Scott

NeurIPS 2021 Fast Rates for Prediction with Limited Expert Advice El Mehdi Saad, Gilles Blanchard

ALT 2019 A Minimax Near-Optimal Algorithm for Adaptive Rejection Sampling Juliette Achddou, Joseph Lam-Weil, Alexandra Carpentier, Gilles Blanchard

JMLR 2019 Decontamination of Mutual Contamination Models Julian Katz-Samuels, Gilles Blanchard, Clayton Scott

JMLR 2018 Parallelizing Spectrally Regularized Kernel Algorithms Nicole Mücke, Gilles Blanchard

ALT 2015 Permutational Rademacher Complexity - A New Complexity Measure for Transductive Learning Ilya O. Tolstikhin, Nikita Zhivotovskiy, Gilles Blanchard

AISTATS 2014 Decontamination of Mutually Contaminated Models Gilles Blanchard, Clayton Scott

COLT 2014 Localized Complexities for Transductive Learning Ilya O. Tolstikhin, Gilles Blanchard, Marius Kloft

ICML 2014 The F-Adjusted Graph Laplacian: A Diagonal Modification with a Geometric Interpretation Sven Kurras, Ulrike Luxburg, Gilles Blanchard

COLT 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Clayton Scott, Gilles Blanchard, Gregory Handy

JMLR 2012 On the Convergence Rate of Lp-Norm Multiple Kernel Learning Marius Kloft, Gilles Blanchard

NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample Gilles Blanchard, Gyemin Lee, Clayton Scott

NeurIPS 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning Marius Kloft, Gilles Blanchard

AISTATS 2010 Kernel Partial Least Squares Is Universally Consistent Gilles Blanchard, Nicole Krämer

NeurIPS 2010 Optimal Learning Rates for Kernel Conjugate Gradient Regression Gilles Blanchard, Nicole Krämer

JMLR 2010 Semi-Supervised Novelty Detection Gilles Blanchard, Gyemin Lee, Clayton Scott

JMLR 2009 Adaptive False Discovery Rate Control Under Independence and Dependence Gilles Blanchard, Étienne Roquain

AISTATS 2009 Novelty Detection: Unlabeled Data Definitely Help Clayton Scott, Gilles Blanchard

COLT 2007 Occam's Hammer Gilles Blanchard, François Fleuret

MLJ 2007 Optimal Dyadic Decision Trees Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert Müller

COLT 2007 Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector Sylvain Arlot, Gilles Blanchard, Étienne Roquain

MLJ 2007 Statistical Properties of Kernel Principal Component Analysis Gilles Blanchard, Olivier Bousquet, Laurent Zwald

JMLR 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller

NeurIPS 2005 Non-Gaussian Component Analysis: A Semi-Parametric Framework for Linear Dimension Reduction Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller

NeurIPS 2005 On the Convergence of Eigenspaces in Kernel Principal Component Analysis Laurent Zwald, Gilles Blanchard

NeurIPS 2005 Pattern Recognition from One Example by Chopping Francois Fleuret, Gilles Blanchard

NeCo 2004 Different Paradigms for Choosing Sequential Reweighting Algorithms Gilles Blanchard

NeurIPS 2004 Kernel Projection Machine: A New Tool for Pattern Recognition Laurent Zwald, Gilles Blanchard, Pascal Massart, Régis Vert

COLT 2004 Oracle Bounds and Exact Algorithm for Dyadic Classification Trees Gilles Blanchard, Christin Schäfer, Yves Rozenholc

COLT 2004 Statistical Properties of Kernel Principal Component Analysis Laurent Zwald, Olivier Bousquet, Gilles Blanchard

JMLR 2003 On the Rate of Convergence of Regularized Boosting Classifiers Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis