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	Pour les 76 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 3 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		On least favorable configurations for step-up-down tests Gilles Blanchard , Thorsten Dickhaus , Etienne Roquain , Fanny Villers 2011 Pré-publication, Document de travail hal-00617089v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods Gilles Blanchard , Oleksandr Zadorozhnyi Bernoulli, 2019, 25 (4B), ⟨10.3150/18-BEJ1095⟩ Article dans une revue hal-03327100v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Localized Complexities for Transductive Learning Ilya Tolstikhin , Gilles Blanchard , Marius Kloft Conference on Learning Theory (COLT 2014), 2014, Barcelona, Spain. pp.857-884 Communication dans un congrès hal-03371245v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems Abhishake Rastogi , Gilles Blanchard , Peter Mathé Electronic Journal of Statistics , 2020, 14 (2), pp.2798-2841. ⟨10.1214/20-EJS1735⟩ Article dans une revue hal-03082290v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Resampling-based confidence regions and multiple tests for a correlated random vector Sylvain Arlot , Gilles Blanchard , Etienne Roquain Nader H. Bshouty and Claudio Gentile. Learning Theory 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA; June 13-15, 2007. Proceedings, Springer Berlin / Heidelberg, pp.127-141, 2007, Lecture Notes in Computer Science - Volume 4539/2007, ⟨10.1007/978-3-540-72927-3_11⟩ Chapitre d'ouvrage hal-00125670v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Covariance Adaptive Best Arm Identification El Mehdi Saad , Gilles Blanchard , Nicolas Verzelen NeurIPS 2023 - Neural Information Processing Systems, 2023, New Orleans, United States Communication dans un congrès hal-04114338v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Online Orthogonal Matching Pursuit El Mehdi Saad , Gilles Blanchard , Sylvain Arlot 2021 Pré-publication, Document de travail hal-03141061v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs Franziska Göbel , Gilles Blanchard 2020 Pré-publication, Document de travail hal-03082496v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Exemplar-based image inpainting: fast priority and coherent Nearest Neighbor search Raul Martinez Noriega , Aline Roumy , Gilles Blanchard IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2012, Santander, Spain Communication dans un congrès hal-00752506v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Minimax Euclidean separation rates for testing convex hypotheses in $\mathbb{R}^{d}$ Gilles Blanchard , Alexandra Carpentier , Maurilio Gutzeit Electronic Journal of Statistics , 2018, 12 (2), ⟨10.1214/18-EJS1472⟩ Article dans une revue hal-03327158v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Adaptive false discovery rate control under independence and dependence E. Roquain , G. Blanchard Journal of Machine Learning Research, 2009, 10, pp.2837-2871 Article dans une revue hal-00446200v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Kernel regression, minimax rates and effective dimensionality: beyond the regular case Gilles Blanchard , Nicole Mücke Analysis and Applications, 2020, 18 (4), pp.683-696. ⟨10.1142/S0219530519500258⟩ Article dans une revue hal-03326868v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the post selection inference constant under restricted isometry properties François Bachoc , Gilles Blanchard , Pierre Neuvial Electronic Journal of Statistics , 2018, 12 (2), ⟨10.1214/18-EJS1490⟩ Article dans une revue hal-03327160v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Early stopping for statistical inverse problems via truncated SVD estimation Gilles Blanchard , Marc Hoffmann , Markus Reiss Electronic Journal of Statistics , 2018, 12 (2), ⟨10.1214/18-EJS1482⟩ Article dans une revue hal-03327163v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Some nonasymptotic results on resampling in high dimension, II: Multiple tests Sylvain Arlot , Gilles Blanchard , Etienne Roquain Annals of Statistics, 2010, 38 (1), pp.83-99. ⟨10.1214/08-AOS668⟩ Article dans une revue hal-03334948v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Some non-asymptotic results on resampling in high dimension, I: Confidence regions, II: Multiple tests Sylvain Arlot , Gilles Blanchard , Etienne Roquain Annals of Statistics, 2010, 38 (1), pp.51-99. ⟨10.1214/08-AOS667⟩ Article dans une revue hal-00194145v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Decontamination of Mutual Contamination Models Julian Katz-Samuels , Gilles Blanchard , Clayton Scott Journal of Machine Learning Research, 2019, 20 (41), pp.1-57 Article dans une revue hal-03327104v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Oracle bounds and exact algorithm for dyadic classification trees Gilles Blanchard , C. Schaefer , Yves Rozenholc COLT, 2004, United States. pp.378-392 Communication dans un congrès hal-00264995v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Construction of Tight Frames on Graphs and Application to Denoising Franziska Göbel , Gilles Blanchard , Ulrike Von Luxburg W. K. Härdle; H. H-S. Lu; X. Shen. Handbook of Big Data Analytics, , pp.503-522, 2018, Springer Handbooks of Computational Statistics, 978-3-319-18284-1. ⟨10.1007/978-3-319-18284-1_20⟩ Chapitre d'ouvrage hal-03327344v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimal Dyadic Decision Trees Gilles Blanchard , C. Schaefer , Yves Rozenholc , C. A. Muller Machine Learning, 2007, 66 (2/3), pp.209-241 Article dans une revue hal-00264988v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Occam's hammer: a link between randomized learning and multiple testing FDR control Gilles Blanchard , François Fleuret Learning Theory -- 20th Annual Conference on Learning Theory (COLT 2007), Jun 2007, San Diego, United States. pp.112-126, ⟨10.1007/978-3-540-72927-3_10⟩ Communication dans un congrès hal-00090244v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Domain Generalization by Marginal Transfer Learning Gilles Blanchard , Aniket Anand Deshmukh , Urun Dogan , Gyemin Lee , Clayton Scott Journal of Machine Learning Research, 2021, 22 (2), pp.1-55 Article dans une revue hal-02974216v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Error rate control for classification rules in multiclass mixture models Tristan Mary-Huard , Vittorio Perduca , Marie-Laure Martin-Magniette , Gilles Blanchard The international journal of biostatistics, 2021, 18 (2), pp.381-396. ⟨10.1515/ijb-2020-0105⟩ Article dans une revue hal-03357461v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimal Rates for Regularization of Statistical Inverse Learning Problems Gilles Blanchard , Nicole Mücke Foundations of Computational Mathematics, 2018, 18 (4), pp.971-1013. ⟨10.1007/s10208-017-9359-7⟩ Article dans une revue hal-03327425v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Transductive conformal inference with adaptive scores Ulysse Gazin , Gilles Blanchard , Etienne Roquain 2024 Pré-publication, Document de travail hal-04266605v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Compressive Statistical Learning with Random Feature Moments Rémi Gribonval , Gilles Blanchard , Nicolas Keriven , Yann Traonmilin Mathematical Statistics and Learning, 2021, 3 (2), pp.113-164. ⟨10.4171/msl/20⟩ Article dans une revue hal-01544609v5	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling Rémi Gribonval , Gilles Blanchard , Nicolas Keriven , Yann Traonmilin Mathematical Statistics and Learning, 2021, 3 (2), pp.165-257. ⟨10.4171/msl/21⟩ Article dans une revue hal-02536818v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Supervised Contamination Detection, with Flow Cytometry Application Solenne Gaucher , Gilles Blanchard , Frédéric Chazal 2024 Pré-publication, Document de travail hal-04535142v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Clayton Scott , Gilles Blanchard , Gregory Handy Conference on Learning Theory (COLT 2013), 2013, Princeton, United States. pp.489-511 Communication dans un congrès hal-03371275v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semi-Supervised Novelty Detection Gilles Blanchard , Gyemin Lee , Clayton Scott Journal of Machine Learning Research, 2010, 11 (99), pp.2973−3009 Article dans une revue hal-03329342v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

On least favorable configurations for step-up-down tests

Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods

Localized Complexities for Transductive Learning

Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems

Resampling-based confidence regions and multiple tests for a correlated random vector

Covariance Adaptive Best Arm Identification

Online Orthogonal Matching Pursuit

Volume Doubling Condition and a Local Poincaré Inequality on Unweighted Random Geometric Graphs

Exemplar-based image inpainting: fast priority and coherent Nearest Neighbor search

Minimax Euclidean separation rates for testing convex hypotheses in $\mathbb{R}^{d}$

Adaptive false discovery rate control under independence and dependence

Kernel regression, minimax rates and effective dimensionality: beyond the regular case

On the post selection inference constant under restricted isometry properties

Early stopping for statistical inverse problems via truncated SVD estimation

Some nonasymptotic results on resampling in high dimension, II: Multiple tests

Some non-asymptotic results on resampling in high dimension, I: Confidence regions, II: Multiple tests

Decontamination of Mutual Contamination Models

Oracle bounds and exact algorithm for dyadic classification trees

Construction of Tight Frames on Graphs and Application to Denoising

Optimal Dyadic Decision Trees

Occam's hammer: a link between randomized learning and multiple testing FDR control

Domain Generalization by Marginal Transfer Learning

Error rate control for classification rules in multiclass mixture models

Optimal Rates for Regularization of Statistical Inverse Learning Problems

Transductive conformal inference with adaptive scores

Compressive Statistical Learning with Random Feature Moments

Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling

Supervised Contamination Detection, with Flow Cytometry Application

Classification with Asymmetric Label Noise: Consistency and Maximal Denoising

Semi-Supervised Novelty Detection