Alain Celisse

According to our database1, Alain Celisse authored at least 13 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2025
Representation learning with a transformer by contrastive learning for money laundering detection.
CoRR, July, 2025

Minimum discrepancy principle strategy for choosing k in k-NN regression.
Mach. Learn., 2025

2023
MLGL: An <i>R</i> Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso.
J. Stat. Softw., 2023

2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms.
J. Mach. Learn. Res., 2021

2020
Early stopping and polynomial smoothing in regression with reproducing kernels.
CoRR, 2020

2019
A Kernel Multiple Change-point Algorithm via Model Selection.
J. Mach. Learn. Res., 2019

2018
Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier.
J. Mach. Learn. Res., 2018

New efficient algorithms for multiple change-point detection with reproducing kernels.
Comput. Stat. Data Anal., 2018

2014
MPAgenomics: an R package for multi-patient analysis of genomic markers.
BMC Bioinform., 2014

2011
Segmentation of the mean of heteroscedastic data via cross-validation.
Stat. Comput., 2011

2009
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation.
BMC Bioinform., 2009

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).
PhD thesis, 2008

Nonparametric density estimation by exact leave-p-out cross-validation.
Comput. Stat. Data Anal., 2008


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