Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors.
Yehuda DarPaul MayerLorenzo LuziRichard G. BaraniukPublished in: CoRR (2020)
Keyphrases
- residual errors
- principal component analysis
- regression function
- linear constraints
- least squares
- regression analysis
- learning machines
- support vector regression
- constrained optimization
- linear regression
- failure modes
- error detection
- learning algorithm
- principal components
- high dimensional data
- model selection
- low dimensional
- dimensionality reduction
- image sequences