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The degrees of freedom of the Group Lasso for a General Design
In this paper, we are concerned with regression problems where covariates can be grouped in nonoverlapping blocks, and where only a few of them are assumed to be... -
The Degrees of Freedom of the Group Lasso
International audience -
Grouping strategies and thresholding for high dimensional linear models: Disc...
This is a discussion of the article entitled Grouping strategies and thresholding for high dimensional linear models by M. Mougeot, D. Picard and K. Tribouley and... -
Learning algorithms for sparse classification
This thesis deals with the development of estimation algorithms with embedded feature selection the context of high dimensional data, in the supervised and... -
Group Lasso for generalized linear models in high dimension
Nowadays an increasing amount of data is available and we have to deal with models in high dimension (number of covariates much larger than the sample size). Under... -
Inférence jointe de la structure de modèles graphiques gaussiens
International audience
