Alain Celisse

15 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Approximate full conformal prediction in an RKHS.
CoRR
Davidson Lova Razafindrakoto, Alain Celisse, Jérôme Lacaille
2025 J jnl
Minimum discrepancy principle strategy for choosing k in k-NN regression.
Mach. Learn.
Yaroslav Averyanov, Alain Celisse
2025 J jnl
Representation learning with a transformer by contrastive learning for money laundering detection.
CoRR
Harold Guéneau, Alain Celisse, Pascal Delange
2023 J jnl
MLGL: An
J. Stat. Softw.
Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot
2021 J jnl
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms.
J. Mach. Learn. Res.
Alain Celisse, Martin Wahl
2020 J jnl
Early stopping and polynomial smoothing in regression with reproducing kernels.
CoRR
Yaroslav Averyanov, Alain Celisse
2020 J jnl
Minimum discrepancy principle strategy for choosing k in k-NN regression.
CoRR
Yaroslav Averyanov, Alain Celisse
2019 J jnl
A Kernel Multiple Change-point Algorithm via Model Selection.
J. Mach. Learn. Res.
Sylvain Arlot, Alain Celisse, Zaïd Harchaoui
2018 J jnl
New efficient algorithms for multiple change-point detection with reproducing kernels.
Comput. Stat. Data Anal.
Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill
2018 J jnl
Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier.
J. Mach. Learn. Res.
Alain Celisse, Tristan Mary-Huard
2014 J jnl
MPAgenomics: an R package for multi-patient analysis of genomic markers.
BMC Bioinform.
Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, Guillemette Marot
2011 J jnl
Segmentation of the mean of heteroscedastic data via cross-validation.
Stat. Comput.
Sylvain Arlot, Alain Celisse
2009 J jnl
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation.
BMC Bioinform.
Mickaël Guedj, Stéphane Robin, Alain Celisse, Grégory Nuel
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 J jnl
Nonparametric density estimation by exact leave-p-out cross-validation.
Comput. Stat. Data Anal.
Alain Celisse, Stéphane Robin