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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
		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
		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
		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
		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
		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
		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
		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
		How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars Anton Schwaighofer , Timon Schroeter , Sebastian Mika , G. Blanchard Combinatorial Chemistry and High Throughput Screening, 2009, 12 (5), pp.453-468. ⟨10.2174/138620709788489064⟩ Article dans une revue hal-03336246v1	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, I: Confidence regions Sylvain Arlot , Gilles Blanchard , Etienne Roquain Annals of Statistics, 2010, 38 (1), pp.51-82. ⟨10.1214/08-AOS667⟩ Article dans une revue hal-03329351v1	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
		Permutational Rademacher Complexity A New Complexity Measure for Transductive Learning Ilya Tolstikhin , Nikita Zhivotovskiy , Gilles Blanchard Algorithmic Learning Theory (ALT 2015), 2015, Banff, Canada. pp.209-223, ⟨10.1007/978-3-319-24486-0⟩ Communication dans un congrès hal-03371203v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the Convergence Rate of lp -Norm Multiple Kernel Learning Marius Kloft , Gilles Blanchard Journal of Machine Learning Research, 2012, 13 (80), pp.2465−2502 Article dans une revue hal-03329320v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Statistical learning on measures: an application to persistence diagrams Olympio Hacquard , Gilles Blanchard , Clément Levrard 2023 Pré-publication, Document de travail hal-04028783v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Post hoc confidence bounds on false positives using reference families Gilles Blanchard , Pierre Neuvial , Etienne Roquain Annals of Statistics, 2020, 48 (3), pp.1281-1303. ⟨10.1214/19-AOS1847⟩ Article dans une revue hal-01483585v5	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Topologically penalized regression on manifolds Olympio Hacquard , Krishnakumar Balasubramanian , Gilles Blanchard , Clément Levrard , Wolfgang Polonik Journal of Machine Learning Research, 2022, 23 (161), pp.1-39 Article dans une revue hal-03402076v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On agnostic post hoc approaches to false positive control Gilles Blanchard , Pierre Neuvial , Etienne Roquain Xinping Cui, Thorsten Dickhaus, Ying Ding, Jason C. Hsu. Handbook of Multiple Comparisons, Chapman & Hall/CRC, 2021, Handbooks of Modern Statistical Methods, 9780367140670 Chapitre d'ouvrage hal-02320543v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimal Adaptation for Early Stopping in Statistical Inverse Problems Gilles Blanchard , Marc Hoffmann , Markus Reiss SIAM/ASA Journal on Uncertainty Quantification, 2018, 6 (3), pp.1043-1075. ⟨10.1137/17M1154096⟩ Article dans une revue hal-03327329v2	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
		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
		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
		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
		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
		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

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

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

Localized Complexities for Transductive Learning

Oracle bounds and exact algorithm for dyadic classification trees

Decontamination of Mutual Contamination Models

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

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

Construction of Tight Frames on Graphs and Application to Denoising

Optimal Dyadic Decision Trees

How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars

Some nonasymptotic results on resampling in high dimension, I: Confidence regions

Semi-Supervised Novelty Detection

Permutational Rademacher Complexity A New Complexity Measure for Transductive Learning

On the Convergence Rate of lp -Norm Multiple Kernel Learning

Statistical learning on measures: an application to persistence diagrams

Post hoc confidence bounds on false positives using reference families

Topologically penalized regression on manifolds

On agnostic post hoc approaches to false positive control

Optimal Adaptation for Early Stopping in Statistical Inverse Problems

Online Orthogonal Matching Pursuit

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

Early stopping for statistical inverse problems via truncated SVD estimation

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

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

On the post selection inference constant under restricted isometry properties

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

Adaptive false discovery rate control under independence and dependence