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Approximating and Testing k-Histogram Distributions in Sub-linear Time

Summary: Sublinear-time, sample-efficient algorithms that from samples produce a k-interval piecewise-constant approximation minimizing L2 error to an unknown distribution over [n]. Also gives testers distinguishing k-histograms from distributions ε-far in L1 or L2 with improved complexity. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hc97e01a9fd2dca09
Venue
PODS
Year
2012
Pagerank
5.7259633e-05
Overall Rank
6,639 | 55.37%
DOI
10.1145/2213556.2213561

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{indyk_pods12,
        address = {New York, NY, USA},
        series = {{PODS} '12},
        title = {{Approximating and Testing k-Histogram Distributions in Sub-linear Time}},
        url = {https://dl.acm.org/doi/10.1145/2213556.2213561},
        doi = {10.1145/2213556.2213561},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Indyk, Piotr and Levi, Reut and Rubinfeld, Ronitt},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

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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.

Rank Cited Paper Year Venue Pagerank
242 Fast Incremental Maintenance of Approximate Histograms 1997 VLDB 0.00023363722
255 The History of Histograms (abridged) 2003 VLDB 0.00022981861
275 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022413521
519 Random Sampling for Histogram Construction: How much is enough? 1998 SIGMOD 0.00016942879
742 Dynamic Multidimensional Histograms 2002 SIGMOD 0.0001431602
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