Invariant Priors for Bayesian Quadrature.
Masha NaslidnykJavier GonzalezMaren MahsereciPublished in: CoRR (2021)
Keyphrases
- prior distribution
- prior probabilities
- bayesian approaches
- posterior distribution
- bayesian models
- bayesian framework
- bayesian networks
- bayesian decision
- belief nets
- bayesian inference
- data driven
- maximum likelihood
- affine invariant
- bayesian estimation
- gaussian processes
- dirichlet prior
- bayesian methods
- invariant features
- neural network
- rotation invariant
- affine transformation
- prior information
- scoring metrics
- probability distribution
- multiscale
- bayesian learning
- fourier transform
- metropolis hastings algorithm