Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization.
Clément BénardBrian StaberSébastien Da VeigaPublished in: NeurIPS (2023)
Keyphrases
- reproducing kernel hilbert space
- theoretical underpinnings
- real world
- theoretical considerations
- kernel ridge regression
- kernel machines
- kernel function
- feature space
- regularization parameter
- computer assisted
- polynomial kernels
- data dependent
- viewpoint
- face recognition
- prior information
- theoretical analysis
- edge detection
- feature vectors
- support vector