Constrained Bayesian Optimization with Noisy Experiments

Benjamin Letham
Benjamin Letham
Guilherme Ottoni
Guilherme Ottoni

Bayesian Analysis, pp. 495-519, 2019.

Cited by: 10|Bibtex|Views117|DOI:https://doi.org/10.1214/18-BA1110
EI
Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

Randomized experiments are the gold standard for evaluating the effects of changes to real-world systems, including Internet services. Data in these tests may be difficult to collect and outcomes may have high variance, resulting in potentially large measurement error. Bayesian optimization is a promising technique for optimizing multiple...More

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