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    Improving and extending the testing of distributions for shape-restricted properties

    Fisher, E. and Lachish, Oded and Vasudev, Y. (2017) Improving and extending the testing of distributions for shape-restricted properties. In: Vollmer, H. and Vallée, B. (eds.) 34th Symposium on Theoretical Aspects of Computer Science (STACS 2017). Leibniz International Proceedings in Informatics 66. Leibniz International, 31:1-31:14. ISBN 9783959770286.

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    Distribution testing deals with what information can be deduced about an unknown distribution over $\{1,\ldots,n\}$, where the algorithm is only allowed to obtain a relatively small number of independent samples from the distribution. In the extended conditional sampling model, the algorithm is also allowed to obtain samples from the restriction of the original distribution on subsets of $\{1,\ldots,n\}$. In 2015, Canonne, Diakonikolas, Gouleakis and Rubinfeld unified several previous results, and showed that for any property of distributions satisfying a ``decomposability'' criterion, there exists an algorithm (in the basic model) that can distinguish with high probability distributions satisfying the property from distributions that are far from it in variation distance. We present here a more efficient yet simpler algorithm for the basic model, as well as very efficient algorithms for the conditional model, which until now was not investigated under the umbrella of decomposable properties. Additionally, we provide an algorithm for the conditional model that handles a much larger class of properties. Our core mechanism is a way of efficiently producing an interval-partition of $\{1,\ldots,n\}$ that satisfies a ``fine-grain'' quality. We show that with such a partition at hand we can directly move forward with testing individual intervals, instead of first searching for the ``correct'' partition of $\{1,\ldots,n\}$.


    Item Type: Book Section
    Additional Information: March 8-11, 2017, Hannover, Germany. Series ISSN: 1868-8969
    Keyword(s) / Subject(s): conditional sampling, distribution testing, property testing, statistics
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Oded Lachish
    Date Deposited: 06 Jan 2017 07:32
    Last Modified: 09 Aug 2023 12:41


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