Efficient Methods for Online Multiclass Logistic Regression

Naman Agarwal, Satyen Kale, Julian Zimmert. Efficient Methods for Online Multiclass Logistic Regression. In Sanjoy Dasgupta, Nika Haghtalab, editors, International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France. Volume 167 of Proceedings of Machine Learning Research, pages 3-33, PMLR, 2022. [doi]

@inproceedings{AgarwalKZ22,
  title = {Efficient Methods for Online Multiclass Logistic Regression},
  author = {Naman Agarwal and Satyen Kale and Julian Zimmert},
  year = {2022},
  url = {https://proceedings.mlr.press/v167/agarwal22a.html},
  researchr = {https://researchr.org/publication/AgarwalKZ22},
  cites = {0},
  citedby = {0},
  pages = {3-33},
  booktitle = {International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France},
  editor = {Sanjoy Dasgupta and Nika Haghtalab},
  volume = {167},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}