Bandits with partially observable confounded data

Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni. Bandits with partially observable confounded data. In Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur, editors, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Volume 161 of Proceedings of Machine Learning Research, pages 430-439, AUAI Press, 2021. [doi]

@inproceedings{TennenholtzSME21,
  title = {Bandits with partially observable confounded data},
  author = {Guy Tennenholtz and Uri Shalit and Shie Mannor and Yonathan Efroni},
  year = {2021},
  url = {https://proceedings.mlr.press/v161/tennenholtz21a.html},
  researchr = {https://researchr.org/publication/TennenholtzSME21},
  cites = {0},
  citedby = {0},
  pages = {430-439},
  booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021},
  editor = {Cassio P. de Campos and Marloes H. Maathuis and Erik Quaeghebeur},
  volume = {161},
  series = {Proceedings of Machine Learning Research},
  publisher = {AUAI Press},
}