Theo Guyard
(INSA Rennes / INRIA Rennes)
18/03/2024 15:45
Sparse linear models are ubiquitous in various applied mathematical fields such as high-dimensional statistics, machine learning and signal processing, among many others. Constructing such models can be done via the resolution of optimization problems of the form
\begin{equation}
\label{prob}
\tag{$\mathcal{P}$}
\textstyle\min_{\mathbf{x} \in \mathbf{R}^{n}} \ f(\mathbf{x}) +...
