2019
Bayesian Deconditional Kernel Mean Embeddings
ICML 2019oral
Conditional kernel mean embeddings form an attractive nonparametric framework for representing conditional means of functions, describing the observation processes for many complex models. However, the recovery of the original underlying function of interest whose conditional mean was observed is a…