bibliography.bib

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@misc{Fb2019,
	Author = {Bakshy, Eytan and Balandat, Max and Kashin, Kostya},
	Month = {May},
	Note = {Accessed on 2019-09-30},
	Title = {Open-sourcing Ax and BoTorch: New AI tools for adaptive experimentation},
	Url = {https://ai.facebook.com/blog/open-sourcing-ax-and-botorch-new-ai-tools-for-adaptive-experimentation/},
	Year = {2019},
	Bdsk-Url-1 = {https://ai.facebook.com/blog/open-sourcing-ax-and-botorch-new-ai-tools-for-adaptive-experimentation/}}

@misc{Shi2019,
	Author = {Yuge Shi},
	Month = {September},
	Note = {Accessed on 2019-09-30},
	Title = {Gaussian Process, not quite for dummies},
	Url = {https://yugeten.github.io/posts/2019/09/GP/},
	Year = {2019},
	Bdsk-Url-1 = {https://yugeten.github.io/posts/2019/09/GP/}}

@misc{Zhu2019,
	Author = {Hao Zhu},
	Month = {September},
	Note = {Accessed on 2019-09-30},
	Title = {Implementing Gaussian Process in Python and R},
	Url = {https://zhuhao.org/post/gp_python_r/},
	Year = {2019},
	Bdsk-Url-1 = {https://zhuhao.org/post/gp_python_r/}}

@article{Snoek2012vl,
	Author = {Snoek, Jasper and Larochelle, Hugo and Adams, Ryan P},
	Eprintclass = {stat.ML},
	Month = jun,
	Title = {Practical Bayesian Optimization of Machine Learning Algorithms},
	Url = {https://arxiv.org/abs/1206.2944},
	Year = {2012},
	Bdsk-Url-1 = {https://arxiv.org/abs/1206.2944}}

@article{Frazier2018id,
	Author = {Frazier, Peter I},
	Eprint = {1807.02811v1},
	Eprinttype = {arxiv},
	Journal = {arXiv.org},
	Month = jul,
	Title = {A Tutorial on Bayesian Optimization},
	Url = {https://arxiv.org/abs/1807.02811},
	Year = {2018},
	Bdsk-Url-1 = {https://arxiv.org/abs/1807.02811}}

@article{Shahriari2016je,
	Author = {Shahriari, Bobak and Swersky, Kevin and Wang, Ziyu and Adams, Ryan P and de Freitas, Nando},
	Journal = {Proceedings of the IEEE},
	Number = {1},
	Pages = {148--175},
	Title = {Taking the Human Out of the Loop: A Review of Bayesian Optimization},
	Volume = {104},
	Year = {2016}}

@article{Letham2018ep,
	Author = {Letham, Benjamin and Karrer, Brian and Ottoni, Guilherme and Bakshy, Eytan},
	Eprint = {1706.07094v2},
	Eprinttype = {arxiv},
	Journal = {arXiv.org},
	Month = aug,
	Title = {Constrained Bayesian Optimization with Noisy Experiments},
	Url = {https://arxiv.org/abs/1706.07094},
	Year = {2018},
	Bdsk-Url-1 = {https://arxiv.org/abs/1706.07094}}

@article{Gortler2019a,
	Author = {G{\"o}rtler, Jochen and Kehlbeck, Rebecca and Deussen, Oliver},
	Doi = {10.23915/distill.00017},
	Journal = {Distill},
	Note = {https://distill.pub/2019/visual-exploration-gaussian-processes},
	Title = {A Visual Exploration of Gaussian Processes},
	Url = {https://doi.org/10.23915/distill.00017},
	Year = {2019},
	Bdsk-Url-1 = {https://doi.org/10.23915/distill.00017}}

@manual{r-base,
	Address = {Vienna, Austria},
	Author = {{R Core Team}},
	Organization = {R Foundation for Statistical Computing},
	Title = {R: A Language and Environment for Statistical Computing},
	Url = {https://www.R-project.org/},
	Year = {2018},
	Bdsk-Url-1 = {https://www.R-project.org/}}

@article{r-GPfit,
	Author = {Blake MacDonald and Pritam Ranjan and Hugh Chipman},
	Journal = {Journal of Statistical Software},
	Number = {12},
	Pages = {1--23},
	Title = {{GPfit}: An {R} Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs},
	Url = {https://www.jstatsoft.org/v64/i12/},
	Volume = {64},
	Year = {2015},
	Bdsk-Url-1 = {https://www.jstatsoft.org/v64/i12/}}

@article{r-animation,
	Author = {Yihui Xie},
	Journal = {Journal of Statistical Software},
	Number = {1},
	Pages = {1--27},
	Title = {{animation}: An {R} Package for Creating Animations and Demonstrating Statistical Methods},
	Url = {https://www.jstatsoft.org/v53/i01/},
	Volume = {53},
	Year = {2013},
	Bdsk-Url-1 = {https://www.jstatsoft.org/v53/i01/}}

@Mmnual{r-torch,
  title = {torch: Tensors and Neural Networks with 'GPU' Acceleration},
  author = {Daniel Falbel and Javier Luraschi},
  year = {2021},
  note = {R package version 0.2.1},
  url = {https://CRAN.R-project.org/package=torch}}

@article{Adam,
	Author = {Kingma, Diederik P and Ba, Jimmy},
	Eprint = {arXiv:1412.6980v9},
	Eprintclass = {cs.LG},
	Eprinttype = {arxiv},
	Journal = {arXiv.org},
	Month = dec,
	Title = {Adam: A Method for Stochastic Optimization},
	Url = {https://arxiv.org/abs/1412.6980},
	Year = {2014},
	Bdsk-Url-1 = {https://arxiv.org/abs/1412.6980}}

@article{Chen2018ta,
	Author = {Chen, Yutian and Huang, Aja and Wang, Ziyu and Antonoglou, Ioannis and Schrittwieser, Julian and Silver, David and de Freitas, Nando},
	Eprint = {1812.06855v1},
	Eprintclass = {cs.LG},
	Eprinttype = {arxiv},
	Journal = {arXiv.org},
	Month = dec,
	Title = {Bayesian Optimization in AlphaGo},
	Url = {https://arxiv.org/abs/1812.06855},
	Year = {2018},
	Bdsk-Url-1 = {https://arxiv.org/abs/1812.06855}}

@book{Forrester,
	Author = {Forrester, A., Sobester, A., & Keane, A.},
	Publisher = {Wiley},
	Title = {Engineering design via surrogate modelling: a practical guide},
	Year = {2008}}