| A survey of cross-validation procedures for model selection S Arlot, A Celisse | 4891 | 2010 |
| Consistency of maximum-likelihood and variational estimators in the stochastic block model A Celisse, JJ Daudin, L Pierre | 250 | 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 | 222* | 2019 |
| Optimal cross-validation in density estimation with the -loss A Celisse | 104 | 2014 |
| Nonparametric density estimation by exact leave-p-out cross-validation A Celisse, S Robin Computational Statistics & Data Analysis 52 (5), 2350-2368, 2008 | 100 | 2008 |
| Segmentation of the mean of heteroscedastic data via cross-validation S Arlot, A Celisse Statistics and Computing 21 (4), 613-632, 2011 | 90 | 2011 |
| A survey of cross-validation procedures for model selection. Stat Surv 4: 40–79 S Arlot, A Celisse | 88 | 2010 |
| 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 | 70 | 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 | 37 | 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 | 30 | 2016 |
| 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 | 24 | 2018 |
| A one-sample test for normality with kernel methods J Kellner, A Celisse Bernoulli 25 (3), 1816-1837, 2019 | 23 | 2019 |
| Analyzing the discrepancy principle for kernelized spectral filter learning algorithms A Celisse, M Wahl Journal of Machine Learning Research 22 (76), 1-59, 2021 | 19 | 2021 |
| 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 | 18 | 2011 |
| 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 |
