2018
Nonparametric learning from Bayesian models with randomized objective functions
NeurIPS 2018poster
Bayesian learning is built on an assumption that the model space contains a true reflection of the data generating mechanism. This assumption is problematic, particularly in complex data environments. Here we present a Bayesian nonparametric approach to learning that makes use of statistical models,…