A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin. A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{RouyerHCS22,
  title = {A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs},
  author = {Chloé Rouyer and Dirk van der Hoeven and Nicolò Cesa-Bianchi and Yevgeny Seldin},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/e36da7acd188c6655792270b38830124-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/RouyerHCS22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}