ICML 2022spotlight11 citations
Adaptive Data Analysis with Correlated Observations
Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer
Abstract
The vast majority of the work on adaptive data analysis focuses on the case where the samples in the dataset are independent. Several approaches and tools have been successfully applied in this context, such as
BibTeX
@InProceedings{pmlr-v162-kontorovich22a,
title = {Adaptive Data Analysis with Correlated Observations},
author = {Kontorovich, Aryeh and Sadigurschi, Menachem and Stemmer, Uri},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
pages = {11483--11498},
year = {2022},
editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
volume = {162},
series = {Proceedings of Machine Learning Research},
month = {17--23 Jul},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v162/kontorovich22a/kontorovich22a.pdf},
url = {https://proceedings.mlr.press/v162/kontorovich22a.html},
abstract = {The vast majority of the work on adaptive data analysis focuses on the case where the samples in the dataset are independent. Several approaches and tools have been successfully applied in this context, such as