Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features

Mojmir Mutny, Andreas Krause. Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 9019-9030, 2018. [doi]

@inproceedings{MutnyK18,
  title = {Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features},
  author = {Mojmir Mutny and Andreas Krause},
  year = {2018},
  url = {http://papers.nips.cc/paper/8115-efficient-high-dimensional-bayesian-optimization-with-additivity-and-quadrature-fourier-features},
  researchr = {https://researchr.org/publication/MutnyK18},
  cites = {0},
  citedby = {0},
  pages = {9019-9030},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}