Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression.
Chen ChengJohn DuchiRohith KuditipudiPublished in: CoRR (2022)
Keyphrases
- linear regression
- high dimensional
- generalized linear models
- least squares
- regression problems
- regression methods
- low dimensional
- nearest neighbor
- high dimensionality
- linear regression model
- ridge regression
- locally weighted
- dimensionality reduction
- nonlinear regression
- linear models
- data points
- feature space
- variable selection
- multivariate regression
- parameter space
- high dimensional data
- regression trees
- dimension reduction
- bayesian networks
- computer vision
- kernel regression
- linear predictors
- image sequences