Simpler Distribution Testing with Little Memory
November 02, 2023 Β· Declared Dead Β· π arXiv.org
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Authors
ClΓ©ment L. Canonne, Joy Qiping Yang
arXiv ID
2311.01145
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We consider the question of distribution testing (specifically, uniformity and closeness testing) in the streaming setting, \ie under stringent memory constraints. We improve on the results of Diakonikolas, Gouleakis, Kane, and Rao (2019) by providing considerably simpler algorithms, which remove some restrictions on the range of parameters and match their lower bounds.
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