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Empirical Inference Conference Paper 2019

Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features

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Empirical Inference
Julius von Kügelgen
  • Doctoral Researcher
Kb semi generative modelling domain adaptation with cause and effect features

Author(s): von Kügelgen, J. and Mey, A. and Loog, M.
Book Title: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
Volume: 89
Pages: 1361--1369
Year: 2019
Month: April
Editors: Kamalika Chaudhuri and Masashi Sugiyama
Publisher: PMLR
Project(s):
Bibtex Type: Conference Paper (inproceedings)
Event Place: Naha, Okinawa, Japan
State: Published
URL: https://proceedings.mlr.press/v89/kugelgen19a.html
Electronic Archiving: grant_archive
Links:
Attachments:

BibTex 

@inproceedings{KugMeyLoo19,
  title = {Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features},
  booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
  volume = {89},
  pages = {1361--1369},
  editors = {Kamalika Chaudhuri and Masashi Sugiyama},
  publisher = {PMLR},
  month = apr,
  year = {2019},
  slug = {kugmeyloo19},
  author = {von K{\"u}gelgen, J. and Mey, A. and Loog, M.},
  url = {https://proceedings.mlr.press/v89/kugelgen19a.html},
  month_numeric = {4}
}