no code implementations • NeurIPS 2012 • Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes, Guillaume R. Obozinski
While there is a large body of work focused on modeling these data, few considered modeling these multiple types of relationships jointly.
no code implementations • NeurIPS 2011 • Edouard Grave, Guillaume R. Obozinski, Francis R. Bach
This norm, called the trace Lasso, uses the trace norm of the selected covariates, which is a convex surrogate of their rank, as the criterion of model complexity.
no code implementations • NeurIPS 2010 • Julien Mairal, Rodolphe Jenatton, Francis R. Bach, Guillaume R. Obozinski
Our algorithm scales up to millions of groups and variables, and opens up a whole new range of applications for structured sparse models.
