Dennis Barbour

Bayesian Active Model Selection with an Application to Automated Audiometry

We introduce a novel information-theoretic approach for active model selection and demonstrate its effectiveness in a real-world application. Although our method can work with arbitrary models, we focus on actively learning the appropriate structure for Gaussian process (GP) models with arbitrary ob…