Sampling-based Nyström Approximation and Kernel Quadrature.
Satoshi HayakawaHarald OberhauserTerry J. LyonsPublished in: ICML (2023)
Keyphrases
- adaptive sampling
- kernel matrix
- kernel methods
- low rank approximation
- feature space
- approximation error
- kernel function
- monte carlo
- low rank matrix approximation
- eigendecomposition
- spectral clustering
- reproducing kernel hilbert space
- motion planning
- fourier transform
- closed form
- support vector
- series expansion
- similarity measure
- matrix approximation
- kernel pca
- low rank
- approximation algorithms
- manifold learning
- error bounds
- covariance matrix
- theoretical analysis
- dimensionality reduction