3 papers
cs.LG2026
Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
Wenbin Wang, Colin N. Jones
Bayesian optimization (BO) is an efficient framework for optimizing expensive black-box functions. However, it is typically formulated as learning an end-to-end mapping from inputs…
math.OC2026
Human-in-the-loop: Real-time Preference Optimization
Wenbin Wang, Wenjie Xu, Colin N. Jones
Optimization with preference feedback is an active research area with many applications in engineering systems where humans play a central role, such as building control and autono…
eess.SY2025
Personalized Building Climate Control with Contextual Preferential Bayesian Optimization
Wenbin Wang, Jicheng Shi, Colin N. Jones
Efficient tuning of building climate controllers to optimize occupant utility is essential for ensuring overall comfort and satisfaction. However, this is a challenging task since…