Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty

Yu Inatsu, Shion Takeno, Hiroyuki Hanada +2

In this study, we propose a novel multi-objective Bayesian optimization (MOBO) method to efficiently identify the Pareto front (PF) defined by risk measures for black-box functions…