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

Kelvin Hsu, Fabio Ramos

Abstract: In likelihood-free settings where likelihood evaluations are intractable, approximate Bayesian computation (ABC) addresses the formidable inference task to discover plausible parameters of simulati...