Empirical Inference

Testing Goodness of Fit of Conditional Density Models with Kernels

2020

Conference Paper

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Author(s): Jitkrittum, W. and Kanagawa, H. and Schölkopf, B
Book Title: Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)
Volume: 124
Pages: 221--230
Year: 2020
Month: August
Series: Proceedings of Machine Learning Research
Editors: Jonas Peters and David Sontag
Publisher: PMLR
Department(s): Empirical Inference
Research Project(s): Statistical Learning Theory
Bibtex Type: Conference Paper (conference)
Event Place: Virtual Conference
State: Published
URL: http://proceedings.mlr.press/v124/jitkrittum20a.html

BibTex 

@conference{JitKanSch20,
  title = {Testing Goodness of Fit of Conditional Density Models with Kernels},
  author = {Jitkrittum, W. and Kanagawa, H. and Sch{\"o}lkopf, B},
  booktitle = {Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)},
  volume = {124},
  pages = {221--230},
  series = {Proceedings of Machine Learning Research},
  editors = {Jonas Peters and David Sontag},
  publisher = {PMLR},
  month = aug,
  year = {2020},
  doi = {},
  url = {http://proceedings.mlr.press/v124/jitkrittum20a.html},
  month_numeric = {8}
}