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Conference Paper

Batch Bayesian Optimization via Local Penalization

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Hennig,  P.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Gonzalez, J., Dai, Z., Hennig, P., & Lawrence, N. (2016). Batch Bayesian Optimization via Local Penalization. In A. Gretton, & C. C. Robert (Eds.), Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016 (pp. 648-657). JMLR.org. Retrieved from https://proceedings.mlr.press/v51/gonzalez16a.html.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-19CE-1
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