Kernel Ridgeless Regression is Inconsistent for Low Dimensions.
Daniel BeagleholeMikhail BelkinParthe PanditPublished in: CoRR (2022)
Keyphrases
- reproducing kernel hilbert space
- kernel ridge regression
- kernel regression
- support vector
- regression model
- gaussian processes
- gaussian process regression
- sparse kernel
- classification and regression problems
- principal component regression
- kernel function
- kernel methods
- euclidean space
- high levels
- feature space
- simple linear
- ridge regression
- kernel partial least squares
- regression method
- support vector regression
- regression algorithm
- input space
- similarity function
- loss function
- model selection
- mutual subspace method
- machine learning
- neural network