Sequential Targeting Adaptive Gap-Filling

Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition

arXiv:2604.15959v2 Announce Type: replace Abstract: Multi-objective Bayesian optimization (MOBO) provides a principled framework for optimizing multiple expensive black-box functions. However, existing MOBO methods often struggle with coverage, scalability, and handling constraints and preferences. In this work we propose STAGE-BO, Sequential Targeting Adaptive Gap-Filling $\varepsilon$-Constraint Bayesian Optimization: by analyzing the coverage of the surrogate Pareto front, our method...