Nonparametric density estimation by exact leave-p-out cross-validation. - Alain Celisse; Stéphane Robin (Comput. Stat. Data Anal., 2008)

Model selection via cross-validation in density estimation, regression, and change-point detection. (Sélection de modèle par validation-croisée en estimation de la densité, régression et détection de ruptures). - Alain Celisse (2008)

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. - Mickaël Guedj; Stéphane Robin; Alain Celisse; Grégory Nuel (BMC Bioinform., 2009)

Segmentation of the mean of heteroscedastic data via cross-validation. - Sylvain Arlot; Alain Celisse (Stat. Comput., 2011)

MPAgenomics: an R package for multi-patient analysis of genomic markers. - Quentin Grimonprez; Alain Celisse; Samuel Blanck; Meyling Cheok; Martin Figeac; Guillemette Marot (BMC Bioinform., 2014)

New efficient algorithms for multiple change-point detection with reproducing kernels. - Alain Celisse; Guillemette Marot; Morgane Pierre-Jean; Guillem Rigaill (Comput. Stat. Data Anal., 2018)

Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier. - Alain Celisse; Tristan Mary-Huard (J. Mach. Learn. Res., 2018)

A Kernel Multiple Change-point Algorithm via Model Selection. - Sylvain Arlot; Alain Celisse; Zaïd Harchaoui (J. Mach. Learn. Res., 2019)

Early stopping and polynomial smoothing in regression with reproducing kernels. - Yaroslav Averyanov; Alain Celisse (CoRR, 2020)

Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. - Alain Celisse; Martin Wahl (J. Mach. Learn. Res., 2021)

MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso. - Quentin Grimonprez; Samuel Blanck; Alain Celisse; Guillemette Marot (J. Stat. Softw., 2023)

Minimum discrepancy principle strategy for choosing k in k-NN regression. - Yaroslav Averyanov; Alain Celisse (Mach. Learn., 2025)

Representation learning with a transformer by contrastive learning for money laundering detection. - Harold Guéneau; Alain Celisse; Pascal Delange (CoRR, 2025)