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arXiv · 1709.02919

On Low-Risk Heavy Hitters and Sparse Recovery Schemes

Yi Li·Vasileios Nakos·David Woodruff
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Abstract

We study the heavy hitters and related sparse recovery problems in the low-failure probability regime. This regime is not well-understood, and has only been studied for non-adaptive schemes. The main previous work is one on sparse recovery by Gilbert et al.(ICALP'13). We recognize an error in their analysis, improve their results, and contribute new non-adaptive and adaptive sparse recovery algorithms, as well as provide upper and lower bounds for the heavy hitters problem with low failure probability.

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Yi Li, Vasileios Nakos, David Woodruff. 2017-09-09. On Low-Risk Heavy Hitters and Sparse Recovery Schemes. https://arxiv.org/abs/1709.02919

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