Adaptive Gaussian process surrogates for Bayesian inference.

Timur Takhtaganov Juliane Müller

Published in: CoRR (2018)

Keyphrases

bayesian inference
gaussian process
hyperparameters
expectation propagation
gaussian processes
variational inference
approximate inference

probabilistic model
prior information
posterior distribution
variational bayes
gaussian process regression
bayesian model
regression model

semi supervised
bayesian methods
bayesian framework
model selection
gaussian process models
particle filter
markov chain monte carlo

density estimation
machine learning
cross validation
random sampling
em algorithm
optimal solution