| A survey of cross-validation procedures for model selection S Arlot, A Celisse Statistics surveys 4, 40-79, 2010 | 3028 | 2010 |
| Consistency of maximum-likelihood and variational estimators in the stochastic block model A Celisse, JJ Daudin, L Pierre Electronic Journal of Statistics 6, 1847-1899, 2012 | 160 | 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 | 74* | 2019 |
| 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 | 74* | 2019 |
| Segmentation of the mean of heteroscedastic data via cross-validation S Arlot, A Celisse Statistics and Computing 21 (4), 613-632, 2011 | 69 | 2011 |
| Nonparametric density estimation by exact leave-p-out cross-validation A Celisse, S Robin Computational Statistics & Data Analysis 52 (5), 2350-2368, 2008 | 67 | 2008 |
| Optimal cross-validation in density estimation with the -loss A Celisse The Annals of Statistics 42 (5), 1879-1910, 2014 | 43 | 2014 |
| A survey of cross-validation procedures for model selection. Stat. Surv. 4, 40–79 S Arlot, A Celisse | 38 | 2010 |
| 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), 1-12, 2009 | 30 | 2009 |
| 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 | 29 | 2010 |
| Model selection via cross-validation in density estimation, regression, and change-points detection A Celisse | 25 | 2008 |
| A kernel multiple change-point algorithm via model selection S Arlot, A Celisse, Z Harchaoui arXiv preprint arXiv:1202.3878, 2012 | 18 | 2012 |
| 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 | 17 | 2018 |
| Exact Cross-Validation for kNN and applications to passive and active learning in classification A Celisse, T Mary-Huard Journal de la Société Française de Statistique 152 (3), 83-97, 2011 | 17 | 2011 |
| Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016 | 11 | 2016 |
| Theoretical analysis of cross-validation for estimating the risk of the k-nearest neighbor classifier A Celisse, T Mary-Huard The Journal of Machine Learning Research 19 (1), 2373-2426, 2018 | 10 | 2018 |
| Model selection in density estimation via cross-validation A Celisse | 8 | 2009 |
| A one-sample test for normality with kernel methods J Kellner, A Celisse Bernoulli 25 (3), 1816-1837, 2019 | 7 | 2019 |
| 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 | 7 | 2017 |
| 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 |
