AIConfPaper
UAI 2023poster7 citations

No-Regret Linear Bandits beyond Realizability

Chong Liu, Ming Yin, Yu-Xiang Wang

Source ↗PDF ↗Scholar ↗

Abstract

We study linear bandits when the underlying reward function is

BibTeX
@InProceedings{pmlr-v216-liu23c,
  title = 	 {No-Regret Linear Bandits beyond Realizability},
  author =       {Liu, Chong and Yin, Ming and Wang, Yu-Xiang},
  booktitle = 	 {Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence},
  pages = 	 {1294--1303},
  year = 	 {2023},
  editor = 	 {Evans, Robin J. and Shpitser, Ilya},
  volume = 	 {216},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {31 Jul--04 Aug},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v216/liu23c/liu23c.pdf},
  url = 	 {https://proceedings.mlr.press/v216/liu23c.html},
  abstract = 	 {We study linear bandits when the underlying reward function is
No-Regret Linear Bandits beyond Realizability · UAI 2023