Nonparametric sparsity and regularization
Lorenzo RosascoSilvia VillaSofia MosciMatteo SantoroAlessandro VerriPublished in: CoRR (2012)
Keyphrases
- mixed norm
- sparse approximation
- sparsity inducing
- data driven
- group lasso
- high dimensional
- regularization parameter
- regularization methods
- structured sparsity
- norm regularization
- inverse problems
- bayesian modeling
- nonparametric regression
- multi class
- regularization term
- variable selection
- basis pursuit
- sparsity constraints
- convex loss functions
- regularization method
- parametric models
- convex optimization
- prior information
- regression model
- denoising
- probability distribution