Efficient Bayesian Inference for a Gaussian Process Density Model.

Christian Donner Manfred Opper

Published in: UAI (2018)

Keyphrases

bayesian inference
probabilistic model
expectation propagation
variational inference
gaussian process
hyperparameters
prior information
gaussian processes
bayesian model
prior knowledge
bayesian framework
posterior probability
dynamic programming
probability distribution
incremental learning
approximate inference