boa/CITATION.cff at develop · madeline-scyphers/boa · GitHub

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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Bayesian Optimization for Anything (BOA)
message: >-
  If you use this software, please cite it as below.
type: software
authors:
  - given-names: Madeline
    family-names: Scyphers
    email: mescyphers@gmail.com
    orcid: 'https://orcid.org/0000-0003-3733-4330'
  - given-names: Justine
    family-names: Missik
    email: missik.2@osu.edu
    orcid: 'https://orcid.org/0000-0002-6448-0694'
  - given-names: Joel
    family-names: Paulson
    orcid: 'https://orcid.org/0000-0002-1518-7985'
  - given-names: Gil
    family-names: Bohrer
    orcid: 'https://orcid.org/0000-0002-9209-9540'
repository-code: 'https://github.com/madeline-scyphers/boa'
url: 'https://boa-framework.readthedocs.io/en/latest/'
doi: '10.5281/zenodo.7655353'
abstract: >-
  Bayesian Optimization for Anything: A high-level Bayesian
  optimization framework and model wrapping tool. It
  provides an easy-to-use interface between models and the
  python libraries Ax and BoTorch.
keywords:
  - Bayesian optimization
  - modeling
  - informatics
license: MIT
references:
  - authors:
    - family-names: Balandat
      given-names: Maximilian
    - family-names: Karrer
      given-names: Brian
    - family-names: Jiang
      given-names: Daniel R.
    - family-names: Daulton
      given-names: Samuel
    - family-names: Letham
      given-names: Benjamin
    - family-names: Wilson
      given-names: Andrew Gordon
    - family-names: Bakshy
      given-names: Eytan
    type: article
    title: 'BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization'
    journal: 'Advances in Neural Information Processing Systems 33'
    year: 2020
    url: 'http://arxiv.org/abs/1910.06403'