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Optimal Bounds for Approximate Counting

Summary: Randomized space Θ(log log N + log(1/ε) + log log(1/δ)) bits suffices for (1+ε)-approximate counting w.p. 1−δ, exponentially improving prior log(1/δ) dependence. Also shows Morris Counter (with minor tweak) attains this and proves a matching lower bound (optimal up to ≤3+o(1) factor) with explicit constants. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1894
Venue
PODS
Year
2022
Pagerank
7.0176745e-05
Overall Rank
3,919 | 73.12%
DOI
10.1145/3517804.3526225

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nelson_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{Optimal Bounds for Approximate Counting}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3526225},
        doi = {10.1145/3517804.3526225},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Nelson, Jelani and Yu, Huacheng},
        year = {2022}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
451 Mergeable Summaries 2012 PODS 0.00018151445
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