Screening Rules for Lasso with Non-Convex Sparse Regularizers.
Alain RakotomamonjyGilles GassoJoseph SalmonPublished in: CoRR (2019)
Keyphrases
- sparse representation
- elastic net
- group lasso
- convex optimization
- rule sets
- generalized linear models
- linear combination
- regularized regression
- association rules
- high dimensional
- sparse data
- regression model
- variable selection
- decision rules
- sparse coding
- feature selection
- convex hull
- classification rules
- least squares
- image analysis
- total variation
- production rules
- globally optimal
- optic flow
- image representation
- compressive sensing
- convex relaxation
- compressed sensing
- denoising
- basis pursuit
- multiscale