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Practical Bayesian Optimization of Machine Learning Algorithms

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Authors: Jasper Snoek, Hugo Larochelle, Ryan P. Adams
Year: 2002
Journal: NeurIPS
DOI: 10.48550/arXiv.1206.2944
Publisher: https://arxiv.org/abs/1206.2944

Keywords: bayesian opt, hpo

Abstract

We describe a general framework for using Bayesian optimization for hyperparameter tuning.

Cite this paper

bibtex
@misc{gpbo2002,
  title  = {Practical Bayesian Optimization of Machine Learning Algorithms},
  author = {Jasper Snoek, Hugo Larochelle, Ryan P. Adams},
  year   = {2002},
  journal = {NeurIPS},
  doi    = {10.48550/arXiv.1206.2944},
  url    = {https://doi.org/10.48550/arXiv.1206.2944},
}

Source files

Released under the MIT License.