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• W2336478268 abstract "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 is purported to have, in order to allow one to make on-the-fly corrections to samples drawn from probability distributions. These algorithms then act as filters between the noisy data and the end user." @default.
• W2336478268 created "2016-06-24" @default.
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• W2336478268 date "2016-01-14" @default.
• W2336478268 modified "2023-10-14" @default.
• W2336478268 title "Sampling Correctors" @default.
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• W2336478268 doi "https://doi.org/10.1145/2840728.2840729" @default.
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