Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta. Privacy Amplification via Shuffling for Linear Contextual Bandits. In Sanjoy Dasgupta, Nika Haghtalab, editors, International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France. Volume 167 of Proceedings of Machine Learning Research, pages 381-407, PMLR, 2022. [doi]
@inproceedings{GarcelonCPP22,
title = {Privacy Amplification via Shuffling for Linear Contextual Bandits},
author = {Evrard Garcelon and Kamalika Chaudhuri and Vianney Perchet and Matteo Pirotta},
year = {2022},
url = {https://proceedings.mlr.press/v167/garcelon22a.html},
researchr = {https://researchr.org/publication/GarcelonCPP22},
cites = {0},
citedby = {0},
pages = {381-407},
booktitle = {International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France},
editor = {Sanjoy Dasgupta and Nika Haghtalab},
volume = {167},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}