Slowly Varying Regression under Sparsity.
Dimitris BertsimasVassilis Digalakis Jr.Michael Lingzhi LiOmar Skali LamiPublished in: CoRR (2021)
Keyphrases
- slowly varying
- wide band
- regression model
- sparse approximations
- spatial frequency
- high dimensional
- linear regression
- sparse representation
- model selection
- support vector
- regression problems
- reproducing kernel hilbert space
- group lasso
- support vector regression
- gaussian processes
- regression analysis
- regression method
- regression algorithm
- recommender systems