4 citations · 7 across the 6 of their papers we have counts for
9 papers
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…
What price to pay? Auto-tuning a building MPC controller for optimal economic cost
Jiarui Yu, Jicheng Shi, Wenjie Xu +1
Demand-side management (DSM) programs introduce complex pricing, requiring advanced control for cost minimization. Model Predictive Control (MPC) offers a solution but its performa…
Principled Bayesian Optimisation in Collaboration with Human Experts
Wenjie Xu, Masaki Adachi, Colin N. Jones +1
Bayesian optimisation for real-world problems is often performed interactively with human experts, and integrating their domain knowledge is key to accelerate the optimisation proc…
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic +1
This paper studies the problem of distributed multi-agent Bayesian optimization with both coupled black-box constraints and known affine constraints. A primal-dual distributed algo…
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach
Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale +2
We study the problem of tuning the parameters of a room temperature controller to minimize its energy consumption, subject to the constraint that the daily cumulative thermal disco…
Bayesian Optimization of Expensive Nested Grey-Box Functions
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic +1
We consider the problem of optimizing a grey-box objective function, i.e., nested function composed of both black-box and white-box functions. A general formulation for such grey-b…