2020
A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
AISTATS 2020poster
We introduce a fully stochastic gradient based approach to Bayesian optimal experimental design (BOED). Our approach utilizes variational lower bounds on the expected information gain (EIG) of an experiment that can be simultaneously optimized with respect to both the variational and design paramete…