Andrew Chin

Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design

Expected information gain (EIG) is a crucial quantity in Bayesian optimal experimental design (BOED), quantifying how useful an experiment is by the amount we expect the posterior to differ from the prior. However, evaluating the EIG can be computationally expensive since it generally requires estim…