Truncated Linear Regression in High Dimensions.
Constantinos DaskalakisDhruv RohatgiManolis ZampetakisPublished in: CoRR (2020)
Keyphrases
- linear regression
- high dimensions
- least squares
- high dimensional data
- high dimensional
- regression problems
- high dimensional spaces
- poor quality
- regression methods
- ridge regression
- linear regression model
- locally weighted
- nonlinear regression
- generalized linear models
- kernel density estimators
- nearest neighbor
- motion estimation
- support vector
- computer vision