Samuel Vaiter

I am a CNRS research associate (CR2) in Applied Mathematics at IMB (Université de Bourgogne, France). My current research interests focus on variational regularization in signal and image processing, convex analysis, sparsity and risk estimation.

samuel.vaiter@u-bourgogne.fr @vaiter @svaiter

News

Oct 24, 2017
Graph-Slope paper accepted in EJS

Our paper with Pierre C. Bellec and Joseph Salmon coined A sharp oracle inequality for Graph-Slope has been accepted in Electronic Journal of Statistics.

Jun 21, 2017
Preprint on Graph-Slope

Together with Pierre C. Bellec and Joseph Salmon, we released our preprint A sharp oracle inequality for Graph-Slope.

Apr 16, 2017
Model Consistency of Partly Smooth Regularizers accepted in TIT

After two long years in review, our paper with J. Fadili and G. Peyré Model Consistency of Partly Smooth Regularizers has been accepted for publication in IEEE Transactions on Information Theory.

Mar 20, 2017
Accelerated alternating descent methods published in JMIV

Our paper with A. Chambolle and P. Tan, Accelerated Alternating Descent Methods for Dykstra-like problems has been accepted for publication in Journal of Mathematical Imaging and Vision. The online first version is available here.

Feb 14, 2017
New preprint on non-uniqueness for the analysis Lasso

Our work with A. Barbara and A. Jourani on non-uniqueness for the analysis Lasso is available at the following link Maximal solutions of sparse analysis regularization.