Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case

Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang. Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 624-633, PMLR, 2019. [doi]

@inproceedings{BeygelzimerPSTW19,
  title = {Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case},
  author = {Alina Beygelzimer and Dávid Pál and Balázs Szörényi and Devanathan Thiruvenkatachari and Chen-Yu Wei and Chicheng Zhang},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/beygelzimer19a.html},
  researchr = {https://researchr.org/publication/BeygelzimerPSTW19},
  cites = {0},
  citedby = {0},
  pages = {624-633},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
  editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
  volume = {97},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}