According to our database1, Stéphane Chrétien
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A note on computing the smallest conic singular value.
J. Computational Applied Mathematics, 2018
Online shortest paths with confidence intervals for routing in a time varying random network.
Feature selection in weakly coherent matrices.
Average performance analysis of the stochastic gradient method for online PCA.
A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.
Comp. in Bio. and Med., 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
Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems.
Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox.
Simulation-based estimation of branching models for LTR retrotransposons.
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 Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering.
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