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Better Cardinality Estimators for HyperLogLog, PCSA, and Beyond

Summary: Introduce tau-Generalized-Remaining-Area (tau-GRA) estimators and a simpler unified analysis that casts prior estimators as integer‑tau cases. Fractional tau yields improved HyperLogLog/PCSA estimators near Cramér‑Rao variance and better Curtain‑sketch tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1931
Venue
PODS
Year
2023
Pagerank
5.7351e-05
Overall Rank
6,934 | 52.43%
DOI
10.1145/3584372.3588680

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_pods23,
        address = {New York, NY, USA},
        series = {{PODS} '23},
        title = {{Better Cardinality Estimators for HyperLogLog, PCSA, and Beyond}},
        url = {https://dl.acm.org/doi/10.1145/3584372.3588680},
        doi = {10.1145/3584372.3588680},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Wang, Dingyu and Pettie, Seth},
        year = {2023}
}

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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
482 An Optimal Algorithm for the Distinct Elements Problem 2010 PODS 0.00017772185
2,792 All-Distances Sketches, Revisited: HIP Estimators for Massive Graphs Analysis 2014 PODS 8.1191853e-05
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