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On Sketching Trimmed Statistics

Summary: First sublinear-space study of trimmed frequency-vector statistics, including top-k and trimmed-vector F_p moments. Establishes a sharp sublinearity threshold via a_k²/(||x_-k||₂²/k), extends results beyond p≤2, and improves h-index sketches. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
2037
Venue
PODS
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,162 | 30.28%
DOI
10.1145/3801907

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BibTeX Citation

@inproceedings{lin_pods26,
        address = {New York, NY, USA},
        series = {{PODS} '26},
        title = {{On Sketching Trimmed Statistics}},
        url = {https://dl.acm.org/doi/10.1145/3801907},
        doi = {10.1145/3801907},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Lin, Honghao and Nguyen, Hoai-An and Woodruff, David P.},
        year = {2026}
}

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