Screening rules for Lasso with non-convex Sparse Regularizers.
Alain RakotomamonjyGilles GassoJoseph SalmonPublished in: ICML (2019)
Keyphrases
- sparse representation
- elastic net
- group lasso
- regularized regression
- convex optimization
- generalized linear models
- linear combination
- decision rules
- rule sets
- efficient optimization
- production rules
- globally optimal
- piecewise linear
- neural network
- least squares
- feature selection
- sparse data
- compressive sensing
- convex relaxation
- multi task
- linear regression
- model selection
- basis pursuit