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Smooth Tradeoffs between Insert and Query Complexity in Nearest Neighbor Search

Summary: L2 similarity-search scheme providing a smooth, tunable tradeoff between insert complexity A and query complexity B, interpolating between classical LSH and Entropy LSH regimes. Data-oblivious construction and analysis match or improve prior bounds up to lower-order exponent terms. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1645
Venue
PODS
Year
2015
Pagerank
6.1285141e-05
Overall Rank
5,666 | 61.13%
DOI
10.1145/2745754.2745761

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kapralov_pods15,
        address = {New York, NY, USA},
        series = {{PODS} '15},
        title = {{Smooth Tradeoffs between Insert and Query Complexity in Nearest Neighbor Search}},
        url = {https://dl.acm.org/doi/10.1145/2745754.2745761},
        doi = {10.1145/2745754.2745761},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Kapralov, Michael},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
6,583 Distance-Sensitive Hashing 2018 PODS 5.8359922e-05
9,317 Set Similarity Search for Skewed Data 2018 PODS 5.289545e-05
10,645 On the Adversarial Robustness of Locality-Sensitive Hashing in Hamming Space 2025 PODS 5.093636e-05
11,751 On the I/O Complexity of the k-Nearest Neighbors Problem 2020 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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