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Sylvain Arlot
Sylvain Arlot
Université Paris-Saclay
Verificeret mail på universite-paris-saclay.fr - Startside
Titel
Citeret af
Citeret af
År
A survey of cross-validation procedures for model selection
S Arlot, A Celisse
Statistics Surveys 4, 40-79, 2010
48012010
Data-driven calibration of penalties for least-squares regression
S Arlot, P Massart
The Journal of Machine Learning Research 10, 245-279, 2009
2232009
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
212*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
161*2016
Analysis of purely random forests bias
S Arlot, R Genuer
arXiv preprint arXiv:1407.3939, 2014
1122014
Consistent change-point detection with kernels
D Garreau, S Arlot
982018
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
872010
Segmentation of the mean of heteroscedastic data via cross-validation
S Arlot, A Celisse
Arxiv preprint arXiv:0902.3977, 2009
862009
Model selection by resampling penalization
S Arlot
Electronic Journal of Statistics 3, 557-624, 2009
842009
Metric learning for temporal sequence alignment
D Garreau, R Lajugie, S Arlot, F Bach
Advances in neural information processing systems 27, 2014
712014
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
642009
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
582010
Minimal penalties and the slope heuristics: a survey
S Arlot
Journal de la société française de statistique 160 (3), 1-106, 2019
572019
Multi-task regression using minimal penalties
M Solnon, S Arlot, F Bach
The Journal of Machine Learning Research 13 (1), 2773-2812, 2012
402012
Margin-adaptive model selection in statistical learning
S Arlot, PL Bartlett
Bernoulli 17 (2), 687-713, 2011
322011
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
322010
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Artikler 1–20