Alain Celisse

发表

Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model

Alain Celisse, J. Daudin, L. Pierre, 2011, 1105.3288.

Stability revisited: new generalisation bounds for the Leave-one-Out

Alain Celisse, Benjamin Guedj, 2016, 1608.06412.

Analyzing the discrepancy principle for kernelized spectral filter learning algorithms

Alain Celisse, Martin Wahl, 2020, J. Mach. Learn. Res..

New efficient algorithms for multiple change-point detection with kernels

Alain Celisse, G. Marot, Morgane Pierre-Jean, 2016, 1710.04556.

A one-sample test for normality with kernel methods

Alain Celisse, J'er'emie Kellner, 2015, Bernoulli.

New normality test in high dimension with kernel methods

Alain Celisse, J'er'emie Kellner, 2014, 1404.3188.

Model selection via cross-validation in density estimation, regression, and change-points detection

Alain Celisse, Alain Celisse, 2008 .

Density estimation via cross-validation: Model selection point of view

Alain Celisse, 2009 .

A leave-p-out based estimation of the proportion of null hypotheses

Alain Celisse, S. Robin, 2008, 0804.1189.

A cross-validation based estimation of the proportion of true null hypotheses

Stéphane Robin, Alain Celisse, Alain Celisse, 2010 .

Optimal cross-validation in density estimation with the $L^{2}$-loss

Alain Celisse, Alain Celisse, 2008, 0811.0802.

Submitted to the Annals of Statistics OPTIMAL CROSS-VALIDATION IN DENSITY ESTIMATION WITH THE L 2 − LOSS By

Alain Celisse, 2014 .

Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier

Alain Celisse, T. Mary-Huard, 2015, 1508.04905.

Kernel change-point detection

Z. Harchaoui, Alain Celisse, Sylvain Arlot, 2012 .

Properties of variational estimates of a mixture model for random graphs

Alain Celisse, J. Daudin, S. Gazal, 2010 .

A leave-p-out based estimation of the proportion of null hypotheses

Alain Celisse, S. Robin, 2008, 0804.1189.

A survey of cross-validation procedures for model selection

Sylvain Arlot, Alain Celisse, Alain Celisse, 2009, 0907.4728.

A Kernel Multiple Change-point Algorithm via Model Selection

Sylvain Arlot, Zaid Harchaoui, Alain Celisse, 2012, J. Mach. Learn. Res..

Segmentation of the mean of heteroscedastic data via cross-validation

Sylvain Arlot, Alain Celisse, Alain Celisse, 2009, Stat. Comput..

Contributions à la calibration d'algorithmes d'apprentissage : Validation-croisée et détection de ruptures

Alain Celisse, Alain Celisse, 2018 .

Model selection in density estimation via cross-validation

Alain Celisse, Alain Celisse, 2008 .

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

Stéphane Robin, Grégory Nuel, Alain Celisse, 2009, BMC Bioinformatics.

Early stopping and polynomial smoothing in regression with reproducing kernels pdf

Alain Celisse, Yaroslav Averyanov, Alain Celisse, 2020, ArXiv.

Nonparametric density estimation by exact leave-p-out cross-validation

Stéphane Robin, Alain Celisse, Alain Celisse, 2008, Comput. Stat. Data Anal..

Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier

Tristan Mary-Huard, Alain Celisse, Alain Celisse, 2015, J. Mach. Learn. Res..

New efficient algorithms for multiple change-point detection with reproducing kernels

Alain Celisse, Guillemette Marot, Guillem Rigaill, 2018, Comput. Stat. Data Anal..

MPAgenomics: an R package for multi-patient analysis of genomic markers

Alain Celisse, G. Marot, M. Cheok, 2014, BMC Bioinformatics.

MPAgenomics: an R package for multi-patient analysis of genomic markers

Quentin Grimonprez, Alain Celisse, Guillemette Marot, 2014, BMC Bioinformatics.

Analysis of genomic markers: Make it easy with the R package MPAgenomics

Quentin Grimonprez, Alain Celisse, Guillemette Marot, 2014 .

New upper bounds on cross-validation for the k-Nearest Neighbor classification rule

Alain Celisse, T. Mary-Huard, 2015 .