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Sampling Methods for Inner Product Sketching

Summary: Introduce two linear-time sampling-based inner-product sketches (threshold and priority sampling) that are far cheaper than Bessa et al.'s coordinated weighted sampling and empirically outperform JL/CountSketch. Provide new approximation guarantees and state-of-the-art accuracy for tasks like estimating column correlations in unjoined tables. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13638
Venue
VLDB
Year
2024
Pagerank
5.4574671e-05
Overall Rank
8,252 | 43.39%
DOI
10.14778/3665844.3665850

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{daliri_vldb24,
        title = {{Sampling Methods for Inner Product Sketching}},
        author = {Daliri, Majid and Freire, Juliana and Musco, Christopher and Santos, Aécio and Zhang, Haoxiang},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {9},
        pages = {2185--2197},
        doi = {10.14778/3665844.3665850},
        url = {https://doi.org/10.14778/3665844.3665850},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,293 Magneto: Combining Small and Large Language Models for Schema Matching 2025 VLDB 6.279939e-05
10,162 On Sketching Trimmed Statistics 2026 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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