An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.
Shifan ZhaoTianshi XuEdmond ChowYuanzhe XiPublished in: CoRR (2023)
Keyphrases
- kernel matrices
- kernel matrix
- kernel methods
- low rank
- kernel function
- semidefinite programming
- kernel learning
- eigendecomposition
- feature space
- linear combination
- low rank approximation
- positive semidefinite
- matrix factorization
- metric learning
- reproducing kernel hilbert space
- theoretical analysis
- training samples
- input space
- support vectors
- model selection
- ls svm
- kernel trick
- support vector
- spectral clustering
- generalization bounds
- similarity measure
- learning problems
- missing data
- kernel machines
- low rank matrix