Nonparametric sparsity and regularization.
Lorenzo RosascoSilvia VillaSofia MosciMatteo SantoroAlessandro VerriPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- mixed norm
- sparse approximation
- high dimensional
- convex loss functions
- data driven
- multi class
- data dependent
- regularization parameter
- norm regularization
- sparsity constraints
- group lasso
- density estimation
- sparsity inducing
- regularization methods
- hierarchical bayesian
- bayesian modeling
- variable selection
- nonparametric regression
- total least squares
- parametric models
- inverse problems
- basis pursuit
- sparse representation
- loss function