Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models

Wanggang Shen, Xun Huan

We propose a variance-penalized formulation of Bayesian optimal experimental design for nonlinear models that augments the classical expected utility criterion with a penalty on ut…