Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs

Takashi Goda, Tomohiko Hironaka, Wataru Kitade +1

In this paper we propose an efficient stochastic optimization algorithm to search for Bayesian experimental designs such that the expected information gain is maximized. The gradie…