Stephane Chretien
Stephane Chretien
Full professor of Statistics and Machine Learning, University of Lyon 2, France
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A component-wise EM algorithm for mixtures
G Celeux, S Chrétien, F Forbes, A Mkhadri
Journal of Computational and Graphical Statistics, 2002
Kullback proximal algorithms for maximum-likelihood estimation
S Chrétien, AO Hero
IEEE transactions on information theory 46 (5), 1800-1810, 2000
An Alternating l1 approach to the compressed sensing problem
S Chrétien
Signal Processing Letters, IEEE 17 (2), 181-184, 2010
On EM algorithms and their proximal generalizations
ESAIM: Probability and Statistics 12, 308-326, 2008
Degeneracy in the maximum likelihood estimation of univariate Gaussian mixtures with EM
C Biernacki, S Chrétien
Statistics & Probability Letters 61 (4), 373-382, 2003
Sparse recovery with unknown variance: a LASSO-type approach
S Chrétien, S Darses
IEEE Transactions on Information Theory, 2011
Invertibility of random submatrices via tail decoupling and a Matrix Chernoff Inequality
S Chrétien, S Darses
Statistics and Probability Letters 82 (7), 1479-1487, 2011
Dendrochemical assessment of mercury releases from a pond and dredged-sediment landfill impacted by a chlor-alkali plant
F Maillard, O Girardclos, M Assad, C Zappelini, JMP Mena, L Yung, ...
Environmental research 148, 122-126, 2016
Acceleration of the EM algorithm via proximal point iterations
S Chretien, AO Hero
IEEE International Symposium on Information Theory, 1998
A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications
S Chrétien, N Herr, JM Nicod, C Varnier
2015 IEEE Conference on Prognostics and Health Management (PHM), 1-7, 2015
The Guedon-Vershynin Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering
S Chretien, C Dombry, A Faivre
Frontiers in Applied Mathematics and Statistics 5, 41, 2019
Multivariate GARCH estimation via a Bregman-proximal trust-region method
S Chrétien, JP Ortega
Computational Statistics & Data Analysis 76, 210-236, 2014
Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data
DRJ Pleydell, S Chrétien
Computational Statistics & Data Analysis 54 (5), 1405-1418, 2010
High-overtone bulk acoustic resonator as passive ground penetrating RADAR cooperative targets
JM Friedt, A Saintenoy, S Chrétien, T Baron, E Lebrasseur, T Laroche, ...
Journal of Applied Physics 113 (13), 134904, 2013
Sensing tensors with Gaussian filters
S Chretien, T Wei
IEEE Transactions on Information Theory 63 (2), 843-852, 2016
A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model
M Bruneau, T Mottet, S Moulin, M Kerbiriou, F Chouly, S Chretien, ...
Computers in Biology and Medicine 93, 66-74, 2018
A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers-application to gene expression analysis
S Chrétien, C Guyeux, B Conesa, R Delage-Mouroux, M Jouvenot, ...
BMC bioinformatics 17 (8), 284, 2016
Von Neumann's trace inequality for tensors
S Chrétien, T Wei
Linear Algebra and its Applications, 2015
Perturbation bounds on the extremal singular values of a matrix after appending a column
S Chretien, S Darses
arXiv preprint arXiv:1406.5441, 2014
The two stage l1 approach to the compressed sensing problem
S Chrétien
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