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Empirical Inference Probabilistic Numerics Conference Paper 2019

Convergence Guarantees for Adaptive Bayesian Quadrature Methods

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Probabilistic Numerics
Motonobu Kanagawa
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Probabilistic Numerics, Empirical Inference
Philipp Hennig
Affiliated Researcher

Author(s): Kanagawa, M. and Hennig, P.
Book Title: Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Pages: 6234--6245
Year: 2019
Month: December
Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett
Publisher: Curran Associates, Inc.
Bibtex Type: Conference Paper (conference)
Event Name: 33rd Annual Conference on Neural Information Processing Systems
Event Place: Vancouver, Canada
State: Published
URL: https://papers.nips.cc/paper/8854-convergence-guarantees-for-adaptive-bayesian-quadrature-methods
Electronic Archiving: grant_archive

BibTex 

@conference{KanHen19,
  title = {Convergence Guarantees for Adaptive Bayesian Quadrature Methods},
  booktitle = {Advances in Neural Information Processing Systems 32 (NeurIPS 2019)},
  pages = {6234--6245},
  editors = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2019},
  slug = {kanhen19},
  author = {Kanagawa, M. and Hennig, P.},
  url = {https://papers.nips.cc/paper/8854-convergence-guarantees-for-adaptive-bayesian-quadrature-methods},
  month_numeric = {12}
}