# Symmetric Norm Estimation and Regression on Sliding Windows

@article{Braverman2021SymmetricNE,
title={Symmetric Norm Estimation and Regression on Sliding Windows},
author={Vladimir Braverman and Viska Wei and Samson Zhou},
journal={ArXiv},
year={2021},
volume={abs/2109.01635}
}
• Published 3 September 2021
• Computer Science, Mathematics
• ArXiv
The sliding window model generalizes the standard streaming model and often performs better in applications where recent data is more important or more accurate than data that arrived prior to a certain time. We study the problem of approximating symmetric norms (a norm on R that is invariant under sign-flips and coordinate-wise permutations) in the sliding window model, where only the W most recent updates define the underlying frequency vector. Whereas standard norm estimation algorithms for…

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