Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression.
Shahar Stein IoushuaInbar HasidimOfer ShayevitzMeir FederPublished in: CoRR (2023)
Keyphrases
- linear regression
- minimum norm
- least squares
- high dimensional
- generalized linear models
- regression methods
- low dimensional
- regression problems
- similarity search
- locally weighted
- nonlinear regression
- linear regression model
- data points
- high dimensional data
- optical flow
- ridge regression
- risk management
- high dimensionality
- dimensionality reduction
- risk factors
- dimension reduction
- multivariate regression
- feature space
- gradient field
- feature selection
- signal reconstruction