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stat.ML2022
Inference of Multiscale Gaussian Graphical Model
Do Edmond Sanou, Christophe Ambroise, Geneviève Robin
Gaussian Graphical Models (GGMs) are widely used in high-dimensional data analysis to synthesize the interaction between variables. In many applications, such as genomics or image…
stat.ML2012
Sparsity by Worst-Case Penalties
Yves Grandvalet, Julien Chiquet, Christophe Ambroise
This paper proposes a new interpretation of sparse penalties such as the elastic-net and the group-lasso. Beyond providing a new viewpoint on these penalization schemes, our approa…