Marginalising over Stationary Kernels with Bayesian Quadrature.
Saad HamidSebastian SchulzeMichael A. OsborneStephen J. RobertsPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- bayesian learning
- kernel methods
- non stationary
- linear combination
- bayesian decision
- rotation invariant
- kernel function
- data driven
- support vector
- feature space
- multiresolution
- bayesian networks
- bayesian estimation
- bayesian analysis
- maximum likelihood
- fourier transform
- posterior probability
- posterior distribution
- learning algorithm