Learning, compression, and leakage: Minimising classification error via meta-universal compression principles

Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar. Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. In IEEE Information Theory Workshop, ITW 2020, Riva del Garda, Italy, April 11-15, 2021. pages 1-5, IEEE, 2020. [doi]

@inproceedings{RosasMG20,
  title = {Learning, compression, and leakage: Minimising classification error via meta-universal compression principles},
  author = {Fernando E. Rosas and Pedro A. M. Mediano and Michael Gastpar},
  year = {2020},
  doi = {10.1109/ITW46852.2021.9457579},
  url = {https://doi.org/10.1109/ITW46852.2021.9457579},
  researchr = {https://researchr.org/publication/RosasMG20},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {IEEE Information Theory Workshop, ITW 2020, Riva del Garda, Italy, April 11-15, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-5962-1},
}