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• W2963041981 abstract "There has been considerable recent interest in distribution-tests whose run-time and sample requirements are sublinear in the domain-sizek. We study two of the most important tests under the conditional-sampling model where each query specifies a subsetS of the domain, and the response is a sample drawn fromS according to the underlying distribution. For identity testing, which asks whether the underlying distribution equals a specific given distribution or -differs from it, we reduce the known time and sample complexities from e O( 4 ) to" @default.
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• W2963041981 date "2015-06-26" @default.
• W2963041981 modified "2023-09-27" @default.
• W2963041981 title "Faster Algorithms for Testing under Conditional Sampling" @default.
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