Truncated Linear Regression in High Dimensions.
Constantinos DaskalakisDhruv RohatgiEmmanouil ZampetakisPublished in: NeurIPS (2020)
Keyphrases
- high dimensions
- linear regression
- least squares
- high dimensional data
- high dimensional
- ridge regression
- regression methods
- regression problems
- poor quality
- linear regression model
- high dimensional spaces
- nonlinear regression
- locally weighted
- regression method
- generalized linear models
- image processing
- square loss
- genetic programming
- dimensionality reduction
- data analysis
- pattern recognition