BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators

Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker. BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. In Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak 0001, Shuo Wang, editors, Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021. Volume 154 of Proceedings of Machine Learning Research, pages 49-62, PMLR, 2021. [doi]

@inproceedings{DraghiWMT21,
  title = {BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators},
  author = {Barbara Draghi and Zhenchen Wang and Puja Myles and Allan Tucker},
  year = {2021},
  url = {https://proceedings.mlr.press/v154/draghi21a.html},
  researchr = {https://researchr.org/publication/DraghiWMT21},
  cites = {0},
  citedby = {0},
  pages = {49-62},
  booktitle = {Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021},
  editor = {Nuno Moniz and Paula Branco and Luís Torgo and Nathalie Japkowicz and Michal Wozniak 0001 and Shuo Wang},
  volume = {154},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}