Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory

Andrew J. Wagenmaker, Dylan J. Foster. Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory. In Gergely Neu, Lorenzo Rosasco, editors, The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India. Volume 195 of Proceedings of Machine Learning Research, pages 1322-1472, PMLR, 2023. [doi]

@inproceedings{WagenmakerF23,
  title = {Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory},
  author = {Andrew J. Wagenmaker and Dylan J. Foster},
  year = {2023},
  url = {https://proceedings.mlr.press/v195/wagenmaker23a.html},
  researchr = {https://researchr.org/publication/WagenmakerF23},
  cites = {0},
  citedby = {0},
  pages = {1322-1472},
  booktitle = {The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India},
  editor = {Gergely Neu and Lorenzo Rosasco},
  volume = {195},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}