Controlling Moments with Kernel Stein Discrepancies.
Heishiro KanagawaArthur GrettonLester MackeyPublished in: CoRR (2022)
Keyphrases
- kernel function
- feature space
- kernel space
- positive definite
- component analysis
- partial least squares regression
- convolution kernel
- support vector
- kernel methods
- moment invariants
- perceptron learning
- series expansion
- reproducing kernel hilbert space
- data sets
- multiple kernel learning
- kernel matrix
- kernel regression
- sparse kernel
- multi class
- multiscale
- decision trees
- neural network