Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama. Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. 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 18810-18851, PMLR, 2023. [doi]

@inproceedings{LeeHCS23,
  title = {Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits},
  author = {Jongyeong Lee and Junya Honda and Chao-Kai Chiang and Masashi Sugiyama},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/lee23d.html},
  researchr = {https://researchr.org/publication/LeeHCS23},
  cites = {0},
  citedby = {0},
  pages = {18810-18851},
  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},
}