Bayesian optimization works by constructing a posterior distribution of functions (gaussian process) that best describes the function you want to optimize. As the number of observations grows, the ...

This repository contains a Python script that demonstrates how to perform Bayesian optimization using Gaussian process regression to find the maximum of a quadratic function. The implementation ...

This paper describes a data-driven approach for real-time control of a physical system. Specifically, this paper focuses on the cooperative wind farm control where the objective is to maximize the ...

We propose a mixed-word-length quantization scheme assisted by Bayesian optimization for fiber nonlinearity compensation (NLC). The experimental results of an 80Gbps 1800-km single channel (SC) 16-QAM ...

Automated chemical synthesis, materials fabrication, and spectroscopic physical measurements often bring forth the challenge of process trajectory optimization, i.e., discovering the time dependence ...

Thus, to optimize the fusion energy efficiency for the proposed scheme, we use the Bayesian optimization (BO) method due to the computationally intense nature of PIC simulations. In this paper, we ...