Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.

Kelvin Hsu Fabio Ramos

Published in: CoRR (2019)

Keyphrases

bayesian learning
variational bayes
model selection
relevance vector machine
posterior distribution
feature space
kernel function
hyperparameters
bayesian networks
support vector
dimensionality reduction
parameter estimation
closed form
markov chain monte carlo
expectation propagation