A survey of cross-validation procedures for model selection S Arlot, A Celisse
4818 2010 Consistency of maximum-likelihood and variational estimators in the stochastic block model A Celisse, JJ Daudin, L Pierre
247 2012 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 Optimal cross-validation in density estimation with the A Celisse
102 2014 Nonparametric density estimation by exact leave-p-out cross-validation A Celisse, S Robin
Computational Statistics & Data Analysis 52 (5), 2350-2368, 2008
99 2008 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
Statistics and Computing 21 (4), 613-632, 2011
86 2011 New efficient algorithms for multiple change-point detection with reproducing kernels A Celisse, G Marot, M Pierre-Jean, GJ Rigaill
Computational Statistics & Data Analysis 128, 200-220, 2018
67 2018 A cross-validation based estimation of the proportion of true null hypotheses A Celisse, S Robin
Journal of Statistical Planning and Inference 140 (11), 3132-3147, 2010
43 2010 Model selection via cross-validation in density estimation, regression, and change-points detection A Celisse
Université Paris Sud-Paris XI, 2008
36 2008 Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation M Guedj, S Robin, A Celisse, G Nuel
BMC bioinformatics 10, 1-12, 2009
34 2009 Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
29 2016 A one-sample test for normality with kernel methods J Kellner, A Celisse
Bernoulli 25 (3), 1816-1837, 2019
23 2019 Theoretical Analysis of Cross-Validation for Estimating the Risk of the A Celisse, T Mary-Huard
Journal of Machine Learning Research 19 (58), 1-54, 2018
23 2018 Exact Cross-Validation for A Celisse, T Mary-Huard
Journal de la Société Française de Statistique 152 (3), 83-97, 2011
18 2011 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms A Celisse, M Wahl
Journal of Machine Learning Research 22 (76), 1-59, 2021
17 2021 Density estimation via cross validation: Model selection point of view A Celisse
Preprint, downloadable on arXiv. org 8110802, 2008
9 * 2008 New efficient algorithms for multiple change-point detection with kernels A Celisse, G Marot, M Pierre-Jean, G Rigaill
arXiv preprint arXiv:1710.04556, 2017
8 2017 MLGL: an R package implementing correlated variable selection by hierarchical clustering and group-lasso Q Grimonprez, S Blanck, A Celisse, G Marot
Journal of Statistical Software 106, 1-33, 2023
5 2023 New upper bounds on cross-validation for the k-nearest neighbor classification rule A Celisse, T Mary-Huard
arXiv preprint arXiv:1508.04905, 2015
5 2015 