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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)

Paper ID
1945
Venue
PODS
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,123 | 23.69%
DOI
10.1145/3651145

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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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