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Adaptive Data Analysis with Correlated Observations. (arXiv:2201.08704v1 [cs.LG])
Jan. 24, 2022, 2:10 a.m. | Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer
cs.LG updates on arXiv.org arxiv.org
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 differential privacy,
max-information, compression arguments, and more. The situation is far less
well-understood without the independence assumption.
We embark on a systematic study of the possibilities of adaptive data
analysis with correlated observations. First, we show that, in some cases,
differential privacy guarantees generalization even …
More from arxiv.org / cs.LG updates on arXiv.org
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