An information theoretic approach to reducing algorithmic bias for machine learning

Jin Young Kim, Sung-Bae Cho. An information theoretic approach to reducing algorithmic bias for machine learning. Neurocomputing, 500:26-38, 2022. [doi]

@article{KimC22a-1,
  title = {An information theoretic approach to reducing algorithmic bias for machine learning},
  author = {Jin Young Kim and Sung-Bae Cho},
  year = {2022},
  doi = {10.1016/j.neucom.2021.09.081},
  url = {https://doi.org/10.1016/j.neucom.2021.09.081},
  researchr = {https://researchr.org/publication/KimC22a-1},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {500},
  pages = {26-38},
}