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tutorial

Bayesian Optimization

Published:24 July 2023Publication History
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References

  1. A Tutorial on Bayesian Optimization. P. Frazier, arXiv:1807.02811, 2018Google ScholarGoogle Scholar
  2. Bayesian Optimization. R. Garnett, Cambridge University Press, 2023Google ScholarGoogle Scholar
  3. Gaussian Processes for Machine Learning. C. E. Rasmussen and C.K.I. Williams, 2005Google ScholarGoogle Scholar
  4. Surrogates: Gaussian process modeling, design and optimization for the applied sciences. R. Gramacy, 2020Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation
    July 2023
    2519 pages
    ISBN:9798400701207
    DOI:10.1145/3583133

    Copyright © 2023 ACM

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    Publication History

    • Published: 24 July 2023

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