Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations.
Yann TraonmilinSamuel VaiterPublished in: CoRR (2018)
Keyphrases
- norm regularization
- group lasso
- convex optimization
- regression model
- optimal solution
- canonical correlation analysis
- sparse representation
- variable selection
- matrix completion
- regularization methods
- contingency tables
- multi label learning
- efficient optimization
- total variation
- regularization term
- multiple kernel learning
- weighted graph
- multi task
- max margin
- low rank
- globally optimal
- regression problems
- elastic net