High Dimensional Linear Regression using Lattice Basis Reduction.
Ilias ZadikDavid GamarnikPublished in: NeurIPS (2018)
Keyphrases
- linear regression
- high dimensional
- generalized linear models
- least squares
- regression problems
- low dimensional
- regression methods
- dimensionality reduction
- data points
- locally weighted
- linear regression model
- linear models
- high dimensionality
- ridge regression
- high dimensional data
- kernel regression
- nearest neighbor
- nonlinear regression
- regression method
- multivariate regression
- feature selection
- regression trees
- variable selection
- parameter space
- linear predictors
- input space
- regression model