BibTeX record conf/uai/MaitiNS22

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@inproceedings{DBLP:conf/uai/MaitiNS22,
  author       = {Aurghya Maiti and
                  Vineet Nair and
                  Gaurav Sinha},
  editor       = {James Cussens and
                  Kun Zhang},
  title        = {A causal bandit approach to learning good atomic interventions in
                  presence of unobserved confounders},
  booktitle    = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth
                  Conference on Uncertainty in Artificial Intelligence, {UAI} 2022,
                  1-5 August 2022, Eindhoven, The Netherlands},
  series       = {Proceedings of Machine Learning Research},
  volume       = {180},
  pages        = {1328--1338},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v180/maiti22a.html},
  timestamp    = {Fri, 09 Aug 2024 14:09:48 +0200},
  biburl       = {https://dblp.org/rec/conf/uai/MaitiNS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}