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Algorithmic Techniques for Independent Query Sampling

Summary: Distills algorithmic techniques for Independent Query Sampling (IQS), where sample outputs across queries must be mutually independent—breaking conventional reporting indexes and motivating new index designs. Offers generic index/sampling primitives that compose to solve diverse IQS tasks with provable efficiency guarantees. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h9da44949e1782aa0
Venue
PODS
Year
2022
Pagerank
6.0336793e-05
Overall Rank
5,653 | 62.11%
DOI
10.1145/3517804.3526068

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tao_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{Algorithmic Techniques for Independent Query Sampling}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3526068},
        doi = {10.1145/3517804.3526068},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Tao, Yufei},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,504 Independent Range Sampling 2014 PODS 8.3571366e-05
3,699 Fair Near Neighbor Search: Independent Range Sampling in High Dimensions 2020 PODS 7.0668763e-05
3,825 Spatial Online Sampling and Aggregation 2016 VLDB 6.9795872e-05
5,835 Spatial Independent Range Sampling 2021 SIGMOD 5.9606673e-05
9,945 External Memory Stream Sampling 2015 PODS 5.0913936e-05
12,372 Efficient Top-k Indexing via General Reductions 2016 PODS 4.9605343e-05
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