Sylvain Arlot

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Alain CelisseSAMM Laboratory - Paris 1 Panthéon-Sorbonne UniversityEmail verificata su univ-paris1.fr
Francis BachInria - Ecole Normale SupérieureEmail verificata su inria.fr
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayEmail verificata su universite-paris-saclay.fr
Matthieu LerasleEnsae-CRESTEmail verificata su ensae.fr
Rémi LajugieInria, Ecole Normale SupérieureEmail verificata su ens.fr
Damien GarreauProfessor for the Theory of Machine Learning, Julius-Maximilians-Universität WürzburgEmail verificata su uni-wuerzburg.de
Zaid HarchaouiUniversity of WashingtonEmail verificata su uw.edu
Robin GenuerAssociate professor, Bordeaux UniversityEmail verificata su u-bordeaux.fr
Bertrand ThirionInriaEmail verificata su inria.fr
Josselin DesmarsIPSA, IMCCE, Observatoire de ParisEmail verificata su obspm.fr
Matthieu SolnonINRIA - École Normale SupérieureEmail verificata su ens.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Piotr BojanowskiMeta FAIREmail verificata su fb.com
Binh T. NguyenNational University of SingaporeEmail verificata su nus.edu.sg
Stefano MarmiProfessor of Dynamical Systems, Scuola Normale Superiore, PisaEmail verificata su sns.it
Duccio PapiniDipartimento di Scienze Matematiche, Informatiche e Fisiche - Università di UdineEmail verificata su uniud.it

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Sylvain Arlot

Université Paris-Saclay

Email verificata su universite-paris-saclay.fr - Home page

Statistical Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A survey of cross-validation procedures for model selection S Arlot, A Celisse Statistics Surveys 4, 40-79, 2010	4919	2010
Data-driven calibration of penalties for least-squares regression S Arlot, P Massart The Journal of Machine Learning Research 10, 245-279, 2009	223	2009
A kernel multiple change-point algorithm via model selection S Arlot, A Celisse, Z Harchaoui Journal of machine learning research 20 (162), 1-56, 2019	222*	2019
Choice of V for V-fold cross-validation in least-squares density estimation S Arlot, M Lerasle Journal of Machine Learning Research 17 (208), 1-50, 2016	166*	2016
Analysis of purely random forests bias S Arlot, R Genuer arXiv preprint arXiv:1407.3939, 2014	113	2014
Consistent change-point detection with kernels D Garreau, S Arlot	104	2018
Segmentation of the mean of heteroscedastic data via cross-validation S Arlot, A Celisse Arxiv preprint arXiv:0902.3977, 2009	90	2009
V-fold cross-validation improved: V-fold penalization S Arlot Arxiv preprint arXiv:0802.0566, 2008	89*	2008
Resampling and model selection S Arlot	89*	2007
A survey of cross-validation procedures for model selection. Stat Surv 4: 40–79 S Arlot, A Celisse	88	2010
Model selection by resampling penalization S Arlot Electronic Journal of Statistics 3, 557-624, 2009	84	2009
Metric learning for temporal sequence alignment D Garreau, R Lajugie, S Arlot, F Bach Advances in neural information processing systems 27, 2014	71	2014
Data-driven calibration of linear estimators with minimal penalties S Arlot, F Bach Arxiv preprint arXiv:0909.1884, 2009	71*	2009
Large-margin metric learning for constrained partitioning problems R Lajugie, F Bach, S Arlot International Conference on Machine Learning, 297-305, 2014	66*	2014
Estimating the accuracy of satellite ephemerides using the bootstrap method J Desmars, S Arlot, JE Arlot, V Lainey, A Vienne Astronomy & Astrophysics 499 (1), 321-330, 2009	65	2009
Minimal penalties and the slope heuristics: a survey S Arlot Journal de la société française de statistique 160 (3), 1-106, 2019	61	2019
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	59	2010
Multi-task regression using minimal penalties M Solnon, S Arlot, F Bach The Journal of Machine Learning Research 13 (1), 2773-2812, 2012	40	2012
Margin-adaptive model selection in statistical learning S Arlot, PL Bartlett Bernoulli 17 (2), 687-713, 2011	32	2011
Some nonasymptotic results on resampling in high dimension, II: Multiple tests S Arlot, G Blanchard, E Roquain The Annals of Statistics 38 (1), 83-99, 2010	32	2010

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