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Unbiased Insights: Optimal Streaming Algorithms for l_p Sampling, the Forget Model, and Beyond

Summary: Nearly space-optimal single-pass ℓp samplers, including continuous sampling, improve p=2 bounds and attain optimality for p<2. They enable near-unbiased Fp estimation under forget and suffix-prefix deletions, resolving PODS’24 open problems and extending to entropy and coordinate-wise contractions. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
2048
Venue
PODS
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,171 | 30.22%
DOI
10.1145/3801918

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Authors

BibTeX Citation

@inproceedings{lin_pods26,
        address = {New York, NY, USA},
        series = {{PODS} '26},
        title = {{Unbiased Insights: Optimal Streaming Algorithms for l\_p Sampling, the Forget Model, and Beyond}},
        url = {https://dl.acm.org/doi/10.1145/3801918},
        doi = {10.1145/3801918},
        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 Swartworth, William and Woodruff, David P.},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,162 On Sketching Trimmed Statistics 2026 PODS 5.093636e-05
10,646 Perfect Sampling in Turnstile Streams Beyond Small Moments 2025 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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