Marginalising over Stationary Kernels with Bayesian Quadrature.
Saad HamidSebastian SchulzeMichael A. OsborneStephen J. RobertsPublished in: AISTATS (2022)
Keyphrases
- gaussian processes
- non stationary
- bayesian networks
- fourier transform
- bayesian inference
- kernel function
- data driven
- maximum likelihood
- bayesian learning
- probability distribution
- feature space
- posterior probability
- support vector
- posterior distribution
- multiscale
- multiple kernel learning
- feature selection
- bayesian estimation
- gaussian kernels
- bayesian decision