Perfect Sampling in Turnstile Streams Beyond Small Moments
Summary: Extends perfect G-sampling in turnstile streams to p>2 via sampling-and-rejection; space n^{1-2/p} polylog(n), tight up to polylogs. Delivers a (1+ε)-approximate sample with ε^{-2} n^{1-2/p} polylog(n) space; generalizes to perfect polynomial samplers; applies to log/cap and post-stream subset norm/moment estimation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. David P. Woodruff (Carnegie Mellon University; Google)
- 2. Shenghao Xie (Texas A&M University)
- 3. Samson Zhou (Texas A&M University)
BibTeX Citation
@inproceedings{woodruff_pods25,
address = {New York, NY, USA},
series = {{PODS} '25},
title = {{Perfect Sampling in Turnstile Streams Beyond Small Moments}},
url = {https://dl.acm.org/doi/10.1145/3725243},
doi = {10.1145/3725243},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Woodruff, David P. and Xie, Shenghao and Zhou, Samson},
year = {2025}
}
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 |
| 10,168 | Tight Lower Bounds for l2 Sampling | 2026 | PODS | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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