1. Goal-driven dynamics learning via Bayesian optimization;Bansal,2017
2. Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations;Beykal;Comput. Chem. Eng.,2018
3. Brochu, E., Cora, V. M., De Freitas, N., 2010. A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599.
4. Convergence rates of efficient global optimization algorithms.;Bull;J. Mach. Learn. Res.,2011
5. An algorithm for the use of surrogate models in modular flowsheet optimization;Caballero;AlChE J.,2008