Sylvain Arlot

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Alain CelisseSAMM Laboratory - Paris 1 Panthéon-Sorbonne UniversityVerified email at univ-paris1.fr
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayVerified email at universite-paris-saclay.fr
Matthieu LerasleEnsae-CRESTVerified email at ensae.fr
Rémi LajugieInria, Ecole Normale SupérieureVerified email at ens.fr
Damien GarreauProfessor for the Theory of Machine Learning, Julius-Maximilians-Universität WürzburgVerified email at uni-wuerzburg.de
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Robin GenuerAssociate professor, Bordeaux UniversityVerified email at u-bordeaux.fr
Bertrand ThirionInriaVerified email at inria.fr
Josselin DesmarsIPSA, IMCCE, Observatoire de ParisVerified email at obspm.fr
Matthieu SolnonINRIA - École Normale SupérieureVerified email at ens.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Piotr BojanowskiMeta FAIRVerified email at fb.com
Binh T. NguyenNational University of SingaporeVerified email at nus.edu.sg
Stefano MarmiProfessor of Dynamical Systems, Scuola Normale Superiore, PisaVerified email at sns.it
Duccio PapiniDipartimento di Scienze Matematiche, Informatiche e Fisiche - Università di UdineVerified email at uniud.it

Sylvain Arlot

Université Paris-Saclay

Verified email at universite-paris-saclay.fr - Homepage

Statistical Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey of cross-validation procedures for model selection S Arlot, A Celisse Statistics Surveys 4, 40-79, 2010	4818	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	215*	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	163*	2016
Analysis of purely random forests bias S Arlot, R Genuer arXiv preprint arXiv:1407.3939, 2014	112	2014
Consistent change-point detection with kernels D Garreau, S Arlot	99	2018
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	87	2010
Segmentation of the mean of heteroscedastic data via cross-validation S Arlot, A Celisse Arxiv preprint arXiv:0902.3977, 2009	86	2009
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	64	2009
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	58	2010
Minimal penalties and the slope heuristics: a survey S Arlot Journal de la société française de statistique 160 (3), 1-106, 2019	57	2019
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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