Stéphane Chrétien

According to our database1, Stéphane Chrétien authored at least 29 papers between 1995 and 2019.

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



In proceedings 
PhD thesis 




Corrigendum to "A note on computing the Smallest Conic Singular Value" [J. Comput. Appl. Math. 340 (2018) 221-230].
J. Computational Applied Mathematics, 2019

Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

A note on computing the smallest conic singular value.
J. Computational Applied Mathematics, 2018

A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.
Comp. in Bio. and Med., 2018

l1-Penalised Ordinal Polytomous Regression Estimators with Application to Gene Expression Studies.
Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018

Average Performance Analysis of the Stochastic Gradient Method for Online PCA.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Online Shortest Paths With Confidence Intervals for Routing in a Time Varying Random Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Feature Selection in Weakly Coherent Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Sensing Tensors With Gaussian Filters.
IEEE Trans. Information Theory, 2017

Enhancing Prony's method by nuclear norm penalization and extension to missing data.
Signal, Image and Video Processing, 2017

Systematic investigations of gene effects on both topologies and supports: An Echinococcus illustration.
J. Bioinformatics and Computational Biology, 2017

Simulation-based estimation of branching models for LTR retrotransposons.
Bioinformatics, 2017

An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Validation of Algorithms to Estimate Distribution Network Characteristics Using Power-Hardware-in-the-Loop Configuration.
Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems, 2017

A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis.
BMC Bioinformatics, 2016

Total Variation Minimization for Compressed Sensing with "Smoothly" Varying Covariates.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

Using a sparse promoting method in linear programming approximations to schedule parallel jobs.
Concurrency and Computation: Practice and Experience, 2015

A post-prognostics decision approach to optimize the commitment of fuel cell systems in stationary applications.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

Convex Recovery of Tensors Using Nuclear Norm Penalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Investigating gene expression array with outliers and missing data in bladder cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Sparse Recovery With Unknown Variance: A LASSO-Type Approach.
IEEE Trans. Information Theory, 2014

Multivariate GARCH estimation via a Bregman-proximal trust-region method.
Computational Statistics & Data Analysis, 2014

Job Scheduling Using Successive Linear Programming Approximations of a Sparse Model.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

An Alternating l1 Approach to the Compressed Sensing Problem.
IEEE Signal Process. Lett., 2010

Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data.
Computational Statistics & Data Analysis, 2010

Using the eigenvalue relaxation for binary least-squares estimation problems.
Signal Processing, 2009

Kullback proximal algorithims for maximum-likelihood estimation.
IEEE Trans. Information Theory, 2000

Successive projections-like algorithms for signal approximation/zero-error modelling.
Proceedings of the 1995 International Conference on Acoustics, 1995