Bagging Propensity Weighting: A Robust method for biased PU Learning

Sander De Block; Jessa Bekker

Bagging Propensity Weighting: A Robust method for biased PU Learning

Sander De Block, Jessa Bekker

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:23-37, 2022.

Cite this Paper

BibTeX


@InProceedings{pmlr-v183-block22a,
  title = 	 {Bagging Propensity Weighting: A Robust method for biased PU Learning},
  author =       {Block, Sander De and Bekker, Jessa},
  booktitle = 	 {Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications},
  pages = 	 {23--37},
  year = 	 {2022},
  editor = 	 {Moniz, Nuno and Branco, Paula and Torgo, Luís and Japkowicz, Nathalie and Wozniak, Michal and Wang, Shuo},
  volume = 	 {183},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {23 Sep},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v183/block22a/block22a.pdf},
  url = 	 {https://proceedings.mlr.press/v183/block22a.html}
}

Endnote

%0 Conference Paper
%T Bagging Propensity Weighting: A Robust method for biased PU Learning
%A Sander De Block
%A Jessa Bekker
%B Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications
%C Proceedings of Machine Learning Research
%D 2022
%E Nuno Moniz
%E Paula Branco
%E Luís Torgo
%E Nathalie Japkowicz
%E Michal Wozniak
%E Shuo Wang	
%F pmlr-v183-block22a
%I PMLR
%P 23--37
%U https://proceedings.mlr.press/v183/block22a.html
%V 183

APA


Block, S.D. & Bekker, J.. (2022). Bagging Propensity Weighting: A Robust method for biased PU Learning. Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, in Proceedings of Machine Learning Research 183:23-37 Available from https://proceedings.mlr.press/v183/block22a.html.

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