On the Power of Preconditioning in Sparse Linear Regression.
Jonathan A. KelnerFrederic KoehlerRaghu MekaDhruv RohatgiPublished in: CoRR (2021)
Keyphrases
- linear regression
- generalized linear models
- least squares
- sparse regression
- regression methods
- locally weighted
- regression problems
- ridge regression
- high dimensional
- regression method
- kernel regression
- edge preserving
- bundle adjustment
- nonlinear regression
- regression trees
- linear regression model
- multivariate regression
- linear models
- computer vision