CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design

Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster 0001. CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 14445-14464, PMLR, 2023. [doi]

@inproceedings{IvanovaJRZ023,
  title = {CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design},
  author = {Desi R. Ivanova and Joel Jennings and Tom Rainforth and Cheng Zhang and Adam Foster 0001},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/ivanova23a.html},
  researchr = {https://researchr.org/publication/IvanovaJRZ023},
  cites = {0},
  citedby = {0},
  pages = {14445-14464},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}