Streaming Algorithms with Few State Changes
Summary: State-change aware streaming: Omega(n^{1-1/p}) changes for constant-factor F_p moments under read/write asymmetry. (1+eps)-approx algorithms reach the bound with near-optimal space, extend to heavy-hitters, sparse support, entropy estimation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rajesh Jayaram (Google)
- 2. David P. Woodruff (Carnegie Mellon University; Google)
- 3. Samson Zhou (Texas A&M University)
BibTeX Citation
@inproceedings{jayaram_pods24,
address = {New York, NY, USA},
series = {{PODS} '24},
title = {{Streaming Algorithms with Few State Changes}},
url = {https://dl.acm.org/doi/10.1145/3651145},
doi = {10.1145/3651145},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Jayaram, Rajesh and Woodruff, David P. and Zhou, Samson},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,537 | Finding Heavy-Hitters with Optimal State Changes | 2026 | PODS | 5.2528121e-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 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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