Simpler Distribution Testing with Little Memory

November 02, 2023 Β· Declared Dead Β· πŸ› 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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