364 citations · 1.8k across the 27 of their papers we have counts for
4 papers · 2 filters
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski +1
Recent work in signal processing and statistics have focused on defining new regularization functions, which not only induce sparsity of the solution, but also take into account th…
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume Obozinski, Francis Bach
Using the -norm to regularize the estimation of the parameter vector of a linear model leads to an unstable estimator when covariates are highly correlated. In this paper,…
Structured sparsity through convex optimization
Francis Bach, Rodolphe Jenatton, Julien Mairal +1
Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. While naturally cast as a combinatorial optimization problem, variable or…
Optimization with Sparsity-Inducing Penalties
Francis Bach, Rodolphe Jenatton, Julien Mairal +1
Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. They were first dedicated to linear variable selection but numerous extens…