Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein. Sampling Without Compromising Accuracy in Adaptive Data Analysis. In Aryeh Kontorovich, Gergely Neu, editors, Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA. Volume 117 of Proceedings of Machine Learning Research, pages 297-318, PMLR, 2020. [doi]
@inproceedings{FishRR20,
title = {Sampling Without Compromising Accuracy in Adaptive Data Analysis},
author = {Benjamin Fish and Lev Reyzin and Benjamin I. P. Rubinstein},
year = {2020},
url = {http://proceedings.mlr.press/v117/fish20a.html},
researchr = {https://researchr.org/publication/FishRR20},
cites = {0},
citedby = {0},
pages = {297-318},
booktitle = {Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA},
editor = {Aryeh Kontorovich and Gergely Neu},
volume = {117},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}