Penalising the biases in norm regularisation enforces sparsity.
Etienne BoursierNicolas FlammarionPublished in: NeurIPS (2023)
Keyphrases
- mixed norm
- group lasso
- model selection
- sparsity inducing
- high dimensional
- norm regularization
- compressive sampling
- multi class
- regression model
- sparse representation
- variable selection
- compressive sensing
- structured sparsity
- social norms
- data sets
- energy functional
- convex optimization
- objective function
- neural network
- penalty term
- efficient optimization
- tensor factorization
- norm minimization