69 citations · 226 across the 28 of their papers we have counts for
6 papers · 1 filter
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
Gersende Fort, Barbara Pascal, Patrice Abry +1
Monitoring the Covid19 pandemic constitutes a critical societal stake that received considerable research efforts. The intensity of the pandemic on a given territory is efficiently…
Solving NMF with smoothness and sparsity constraints using PALM
Raimon Fabregat, Nelly Pustelnik, Paulo Gonçalves +1
Non-negative matrix factorization is a problem of dimensionality reduction and source separation of data that has been widely used in many fields since it was studied in depth in 1…
Sparse hierarchical interaction learning with epigraphical projection
Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi +3
This work focuses on learning optimization problems with quadratical interactions between variables, which go beyond the additive models of traditional linear learning. We investig…
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon +2
Piecewise constant denoising can be solved either by deterministic optimization approaches, based on the Potts model, or by stochastic Bayesian procedures. The former lead to low c…
On-the-fly Approximation of Multivariate Total Variation Minimization
Jordan Frecon, Nelly Pustelnik, Patrice Abry +1
In the context of change-point detection, addressed by Total Variation minimization strategies, an efficient on-the-fly algorithm has been designed leading to exact solutions for u…
A Proximal Approach for Sparse Multiclass SVM
G. Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet +1
Sparsity-inducing penalties are useful tools to design multiclass support vector machines (SVMs). In this paper, we propose a convex optimization approach for efficiently and exact…