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Sylvain Arlot
Sylvain Arlot
Université Paris-Saclay
Verified email at universite-paris-saclay.fr - Homepage
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
38172010
Data-driven calibration of penalties for least-squares regression
S Arlot, P Massart
The Journal of Machine Learning Research 10, 245-279, 2009
2062009
A kernel multiple change-point algorithm via model selection
S Arlot, A Celisse, Z Harchaoui
Journal of machine learning research 20 (162), 2019
124*2019
Choice of V for V-fold cross-validation in least-squares density estimation
S Arlot, M Lerasle
The Journal of Machine Learning Research 17 (1), 7256-7305, 2016
113*2016
V-fold cross-validation improved: V-fold penalization
S Arlot
Arxiv preprint arXiv:0802.0566, 2008
86*2008
Analysis of purely random forests bias
S Arlot, R Genuer
arXiv preprint arXiv:1407.3939, 2014
852014
Resampling and model selection
S Arlot
85*2007
Model selection by resampling penalization
S Arlot
Electronic Journal of Statistics 3, 557-624, 2009
832009
Segmentation of the mean of heteroscedastic data via cross-validation
S Arlot, A Celisse
Arxiv preprint arXiv:0902.3977, 2009
742009
Data-driven calibration of linear estimators with minimal penalties
S Arlot, F Bach
Arxiv preprint arXiv:0909.1884, 2009
71*2009
A survey of cross-validation procedures for model selection. Stat. Surv. 4, 40–79
S Arlot, A Celisse
692010
Metric learning for temporal sequence alignment
D Garreau, R Lajugie, S Arlot, F Bach
Advances in neural information processing systems 27, 2014
632014
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
592009
Consistent change-point detection with kernels
D Garreau, S Arlot
Electronic Journal of Statistics 12 (2), 4440-4486, 2018
572018
Large-margin metric learning for constrained partitioning problems
R Lajugie, F Bach, S Arlot
International Conference on Machine Learning, 297-305, 2014
57*2014
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
562010
Minimal penalties and the slope heuristics: a survey
S Arlot
Journal de la société française de statistique 160 (3), 1-106, 2019
412019
Multi-task regression using minimal penalties
M Solnon, S Arlot, F Bach
The Journal of Machine Learning Research 13 (1), 2773-2812, 2012
372012
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
302010
Margin-adaptive model selection in statistical learning
S Arlot, PL Bartlett
Bernoulli 17 (2), 687-713, 2011
262011
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