Yonatan Goldhirsh

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In this paper we define and examine the power of the <i>conditional sampling</i> oracle in the context of distribution-property testing. The conditional sampling oracle for a discrete distribution &#956; takes as input a subset S &#8834; [n] of the domain, and outputs a random sample i &#8712; S drawn according to &#956;, conditioned on S (and independently(More)
For a property P and a sub-property P ′ , we say that P is P ′-partially testable with q queries if there exists an algorithm that distinguishes, with high probability, inputs in P ′ from inputs ǫ-far from P by using q queries. There are natural properties that require many queries to test, but can be partitioned into a small number of subsets for which(More)
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