An Information-Theoretic Approach to Minimax Regret in Partial Monitoring

Tor Lattimore, Csaba Szepesvári. An Information-Theoretic Approach to Minimax Regret in Partial Monitoring. In Alina Beygelzimer, Daniel Hsu 0001, editors, Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA. Volume 99 of Proceedings of Machine Learning Research, pages 2111-2139, PMLR, 2019. [doi]

@inproceedings{LattimoreS19-0,
  title = {An Information-Theoretic Approach to Minimax Regret in Partial Monitoring},
  author = {Tor Lattimore and Csaba Szepesvári},
  year = {2019},
  url = {http://proceedings.mlr.press/v99/lattimore19a.html},
  researchr = {https://researchr.org/publication/LattimoreS19-0},
  cites = {0},
  citedby = {0},
  pages = {2111-2139},
  booktitle = {Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA},
  editor = {Alina Beygelzimer and Daniel Hsu 0001},
  volume = {99},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}