Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation

Chao Jiang, Yueling Huang, Miqing Li

Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box functions with multiple objectives. In MOBO, the goal is to adequatel…