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Differentiable Likelihoods for Fast Inversion of ‘Likelihood-Free’ Dynamical Systems

2020

Conference Paper

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Author(s): Kersting, H. and Krämer, N. and Schiegg, M. and Daniel, C. and Tiemann, M. and Hennig, P.
Book Title: Proceedings of the 37th International Conference on Machine Learning (ICML)
Volume: 119
Pages: 5154--5164
Year: 2020
Month: July

Series: Proceedings of Machine Learning Research
Editors: Hal Daumé III and Aarti Singh
Publisher: Curran Associates, Inc.

Department(s): Empirical Inference
Bibtex Type: Conference Paper (conference)

Event Name: Titel 37th International Conference on Machine Learning (ICML 2020)
Event Place: Virtual Conference

Address: Red Hook, NY
State: Published
URL: http://proceedings.mlr.press/v119/kersting20a/kersting20a.pdf

BibTex

@conference{Kerstingetal20,
  title = {Differentiable Likelihoods for Fast Inversion of ‘Likelihood-Free’ Dynamical Systems},
  author = {Kersting, H. and Kr{\"a}mer, N. and Schiegg, M. and Daniel, C. and Tiemann, M. and Hennig, P.},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning (ICML)},
  volume = {119},
  pages = {5154--5164},
  series = {Proceedings of Machine Learning Research},
  editors = {Hal Daumé III and Aarti Singh},
  publisher = {Curran Associates, Inc.},
  address = {Red Hook, NY},
  month = jul,
  year = {2020},
  doi = {},
  url = {http://proceedings.mlr.press/v119/kersting20a/kersting20a.pdf},
  month_numeric = {7}
}