Следене
Alain Celisse
Alain Celisse
SAMM Laboratory - Paris 1 Panthéon-Sorbonne University
Потвърден имейл адрес: univ-paris1.fr - Начална страница
Заглавие
Позовавания
Позовавания
Година
A survey of cross-validation procedures for model selection
S Arlot, A Celisse
46562010
Consistency of maximum-likelihood and variational estimators in the stochastic block model
A Celisse, JJ Daudin, L Pierre
2452012
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
204*2019
others. A survey of cross-validation procedures for model selection
S Arlot, A Celisse
Stat. Surv 4, 40-79, 2010
1052010
Optimal cross-validation in density estimation with the -loss
A Celisse
972014
Nonparametric density estimation by exact leave-p-out cross-validation
A Celisse, S Robin
Computational Statistics & Data Analysis 52 (5), 2350-2368, 2008
972008
Segmentation of the mean of heteroscedastic data via cross-validation
S Arlot, A Celisse
Statistics and Computing 21 (4), 613-632, 2011
882011
A survey of cross-validation procedures for model selection. Stat. Surv. 4, 40–79
S Arlot, A Celisse
862010
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
612018
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
432010
Model selection via cross-validation in density estimation, regression, and change-points detection
A Celisse
Université Paris Sud-Paris XI, 2008
352008
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
342009
Stability revisited: new generalisation bounds for the leave-one-out
A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
272016
Theoretical Analysis of Cross-Validation for Estimating the Risk of the -Nearest Neighbor Classifier
A Celisse, T Mary-Huard
Journal of Machine Learning Research 19 (58), 1-54, 2018
232018
A one-sample test for normality with kernel methods
J Kellner, A Celisse
222019
Exact Cross-Validation for NN : application to passive and active learning in classification
A Celisse, T Mary-Huard
Journal de la Société Française de Statistique 152 (3), 83-97, 2011
192011
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
A Celisse, M Wahl
Journal of Machine Learning Research 22 (76), 1-59, 2021
172021
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
82017
New upper bounds on cross-validation for the k-nearest neighbor classification rule
A Celisse, T Mary-Huard
arXiv preprint arXiv:1508.04905, 2015
52015
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Статии 1–20