Citation

If you are using NUBO for your research, please cite as:

M Diessner, KJ Wilson, and RD Whalley. "NUBO: A Transparent Python Package for Bayesian Optimisation," Journal of Statistical Software, vol. 114, no. 1, p. 1-28, 2025, doi: 10.18637/jss.v114.i01.

If you are using Bibtex, please cite as:

@Article{NUBO,
         author = {Mike Diessner and Kevin J. Wilson and Richard D. Whalley},
         title = {{NUBO}: A Transparent {Python} Package for Bayesian Optimization},
         journal = {Journal of Statistical Software},
         year = {2025},
         volume = {114},
         number = {1},
         pages = {1--28},
         doi = {10.18637/jss.v114.i01}
}

Selected publications using NUBO

• M Diessner, KJ Wilson, and RD Whalley, “On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions,” arXiv preprint arXiv:2402.03006, 2024.

• M Diessner, KJ Wilson, and RD Whalley. “NUBO: A Transparent Python Package for Bayesian Optimisation,” arXiv preprint arXiv:2305.06709, 2023.

• J O’Connor, M Diessner, KJ Wilson, RD Whalley, A Wynn, and S Laizet, “Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer,” Flow, Turbulence and Combustion, 2023.

• M Diessner, J O’Connor, A Wynn, S Laizet, Y Guan, KJ Wilson, and RD Whalley, “Investigating Bayesian Optimization for Expensive-To-Evaluate Black-Box Functions: Application in Fluid Dynamics,” Frontiers in Applied Mathematics and Statistics, 2022.