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Ronitt Rubinfeld

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  1. Sampling Correctors

    2015 · arXiv (Cornell University)

    In many situations, sample data is obtained from a noisy or imperfect source. In order to address such corruptions, this paper introduces the concept of a sampling corrector. Such algorithms use structure that the distribution …