Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth

Abstract: We introduce Deep Adaptive Design (DAD), a method for amortizing the cost of adaptive Bayesian experimental design that allows experiments to be run in real-time. Traditional sequential Bayesian op...