Kavli Affiliate: Feng Wang | First 5 Authors: Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang | Summary: Multi-objective Bayesian optimization (MOBO) has shown promising performance on various expensive multi-objective optimization problems (EMOPs). However, effectively modeling complex distributions of the Pareto optimal solutions is difficult with limited function evaluations. Existing Pareto set learning […]
Continue.. Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models