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Near-Linear Regimes for One-Sided Distribution-Free Junta Testing

Zhang, Xiaojin
arXiv (All) · Papers
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computational-complexitydata-structures-and-algorithms
We study adaptive one-sided distribution-free testing of Boolean $k$-juntas, with membership-query access to the function and sample access to an arbitrary unknown distribution. For general Boolean functions, we give a tester using $O(k^2\log(k+1)+k/ε)$ queries, independently of the ambient dimensio
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