The fundamental limits of sparse linear regression with sublinear sparsity.
Lan V. TruongPublished in: CoRR (2021)
Keyphrases
- linear regression
- fundamental limits
- sparse representation
- generalized linear models
- sparse regression
- least squares
- high dimensional
- sparsity constraints
- regression problems
- sparse approximation
- compressive sampling
- regression methods
- group lasso
- compressive sensing
- nonlinear regression
- mixed norm
- ridge regression
- linear regression model
- regularized regression
- locally weighted
- tensor factorization
- regression method
- compressed sensing
- linear models
- variable selection
- loss bounds
- regression trees