Wasserstein regularization for sparse multi-task regression.
Hicham JanatiMarco CuturiAlexandre GramfortPublished in: AISTATS (2019)
Keyphrases
- sparsity regularization
- mixed norm
- elastic net
- structured sparsity
- sparse approximation
- rank minimization
- high dimensional
- sparse representation
- kernel matrices
- compressed sensing
- compressive sensing
- sparse data
- regularization parameter
- pointwise
- neural network
- regularization term
- linear combination
- sparse matrix
- group lasso
- sparsity constraints
- sparse coding
- level set
- basis pursuit
- sparsity inducing
- dimensionality reduction
- learning algorithm