Empirical Inference

Bayesian Quadrature on Riemannian Data Manifolds

2021

Conference Paper

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Author(s): Fröhlich, C. and Gessner, A. and Hennig, P. and Schölkopf, B. and Arvanitidis, G.
Book Title: Proceedings of 38th International Conference on Machine Learning (ICML)
Volume: 139
Pages: 3459--3468
Year: 2021
Month: July
Series: Proceedings of Machine Learning Research
Editors: Meila, Marina and Zhang, Tong
Publisher: PMLR
Department(s): Empirical Inference
Research Project(s): Probabilistic Algorithms
Differential Geometry for Representation Learning
Bibtex Type: Conference Paper (conference)
Event Place: Virtual Conference
State: Published
URL: https://proceedings.mlr.press/v139/frohlich21a.html

BibTex 

@conference{Frohlichetal21,
  title = {Bayesian Quadrature on Riemannian Data Manifolds},
  author = {Fr{\"o}hlich, C. and Gessner, A. and Hennig, P. and Sch{\"o}lkopf, B. and Arvanitidis, G.},
  booktitle = {Proceedings of 38th International Conference on Machine Learning (ICML)},
  volume = {139},
  pages = {3459--3468},
  series = {Proceedings of Machine Learning Research},
  editors = {Meila, Marina and Zhang, Tong},
  publisher = {PMLR},
  month = jul,
  year = {2021},
  doi = {},
  url = {https://proceedings.mlr.press/v139/frohlich21a.html},
  month_numeric = {7}
}