Nyström Kernel Mean Embeddings.
Antoine ChatalicNicolas SchreuderLorenzo RosascoAlessandro RudiPublished in: ICML (2022)
Keyphrases
- manifold learning
- kernel matrix
- kernel methods
- kernel function
- hilbert space
- spectral clustering
- feature space
- kernel pca
- euclidean space
- dimensionality reduction
- kernel machines
- theoretical analysis
- reproducing kernel hilbert space
- support vector
- vector space
- low dimensional
- low rank
- eigendecomposition
- input space
- component analysis
- kernel learning
- feature extraction
- kernel space
- adaptive sampling
- convolution kernel
- mutual subspace method
- kernel regression
- positive definite
- similarity function
- linear combination
- semi supervised
- high dimensional
- training data