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most citedConstrained Efficient Global Optimization of Expensive Black-box Functions

11 citations · 21 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023

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…

eess.SY2023★ 2 cited

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…

cs.LG2023★ 1 cited

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…

cs.LG2023

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic +1

This paper studies the problem of online performance optimization of constrained closed-loop control systems, where both the objective and the constraints are unknown black-box fun…

cs.LG2023

Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints

Wenjie Xu, Colin N Jones, Bratislav Svetozarevic +2

We study the problem of performance optimization of closed-loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated to be effective for improv…