research
∙
06/07/2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
Bayesian Optimization (BO) is a class of surrogate-based, sample-efficie...
share
research
∙
03/02/2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Bayesian Optimization (BO) is a class of black-box, surrogate-based heur...
research
∙
11/17/2022
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
Bayesian optimization (BO) algorithms form a class of surrogate-based he...
research
∙
11/02/2022
PI is back! Switching Acquisition Functions in Bayesian Optimization
Bayesian Optimization (BO) is a powerful, sample-efficient technique to ...
research
∙
04/28/2022
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
Bayesian Optimization (BO) is a surrogate-based global optimization stra...
research
∙
07/02/2020