On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions.
Daniel BeagleholeMikhail BelkinParthe PanditPublished in: SIAM J. Math. Data Sci. (2023)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- sparse kernel
- support vector
- kernel regression
- regression model
- classification and regression problems
- gaussian processes
- regression method
- gaussian process regression
- kernel methods
- kernel function
- linear regression
- model selection
- mercer kernels
- principal component regression
- relevance vector machine
- regression methods
- gradient boosting
- regression algorithm
- regression problems
- loss function
- feature space
- covariance function
- kernel matrix
- kernel partial least squares
- regression function
- polynomial regression
- machine learning