Corpus ID: 211258932

ConBO: Conditional Bayesian Optimization

@article{Pearce2020ConBOCB,
  title={ConBO: Conditional Bayesian Optimization},
  author={M. Pearce and Janis Klaise and Matthew Groves},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.09996}
}
  • M. Pearce, Janis Klaise, Matthew Groves
  • Published 2020
  • Mathematics, Computer Science
  • ArXiv
  • Bayesian optimization is a class of data efficient model based algorithms typically focused on global optimization. We consider the more general case where a user is faced with multiple problems that each need to be optimized conditional on a state variable, for example we optimize the location of ambulances conditioned on patient distribution given a range of cities with different patient distributions. Similarity across objectives boosts optimization of each objective in two ways: in… CONTINUE READING

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