On the Power of Preconditioning in Sparse Linear Regression.
Jonathan A. KelnerFrederic KoehlerRaghu MekaDhruv RohatgiPublished in: FOCS (2022)
Keyphrases
- linear regression
- generalized linear models
- sparse regression
- least squares
- regression problems
- regression methods
- linear regression model
- nonlinear regression
- ridge regression
- locally weighted
- linear models
- bundle adjustment
- edge preserving
- regression trees
- kernel density estimators
- high dimensional
- conjugate gradient
- iterative methods
- regression method
- optical flow