Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
A framework that extends standard single-objective acquisition functions directly to the multi-objective setting through a hypervolume-based transformation and extends hedge strategies for acquisition functions, which are typically used only in single-objective optimization, to the multi-objective regime is proposed.