Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization

no code implementations • 26 Nov 2023 • Quang-Huy Nguyen, Long P. Hoang, Hoang V. Viet, Dung D. Le

Pareto Set Learning (PSL) is a promising approach for approximating the entire Pareto front in multi-objective optimization (MOO) problems.

Bayesian Optimization Gaussian Processes

Improving Pareto Front Learning via Multi-Sample Hypernetworks

1 code implementation • 2 Dec 2022 • Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the Pareto front, which solves the multi-objective optimization (MOO) problem.