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Mean Variance Analysis Scalarization Sampler)

This sampler searches for each trial based on the UCB criterion of the scalarized mean-variance objective using Gaussian process.

Class or Function Names

  • MeanVarianceAnalysisScalarizationSimulatorSampler

Installation

$ pip install scipy

Example

Please see example.ipynb

Others

For example, you can add sections to introduce a corresponding paper.

Reference

Iwazaki, Shogo, Yu Inatsu, and Ichiro Takeuchi. “Mean-variance analysis in Bayesian optimization under uncertainty.” International Conference on Artificial Intelligence and Statistics. PMLR, 2021.

Bibtex

@inproceedings{iwazaki2021mean,
  title={Mean-variance analysis in Bayesian optimization under uncertainty},
  author={Iwazaki, Shogo and Inatsu, Yu and Takeuchi, Ichiro},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  pages={973--981},
  year={2021},
  organization={PMLR}
}
Package
samplers/mvas
Author
Shogo Iwazaki
License
MIT License
Verified Optuna version
  • 4.0.0
Last update
2024-09-04