Projection divergence in the reproducing kernel Hilbert space: Asymptotic normality, block-wise and slicing estimation, and computational efficiency.
Yilin ZhangLiping ZhuPublished in: J. Multivar. Anal. (2023)
Keyphrases
- computational efficiency
- block wise
- reproducing kernel hilbert space
- density estimation
- loss function
- computationally efficient
- kernel methods
- learning theory
- special case
- computational complexity
- distance measure
- euclidean space
- real valued
- gaussian process
- kernel function
- learning problems
- data dependent
- mixture model
- data sets
- natural images
- input space
- feature extraction