research
∙
09/20/2022
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization
Efficient global optimization is a widely used method for optimizing exp...
share
research
∙
05/31/2022
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
This manuscript offers the perspective of experimentalists on a number o...
research
∙
04/19/2021
Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach
Let a labeled dataset be given with scattered samples and consider the h...
research
∙
08/10/2020