Agnostic Learning of Disjunctions on Symmetric Distributions

27 May 2014Vitaly FeldmanPravesh Kothari

We consider the problem of approximating and learning disjunctions (or equivalently, conjunctions) on symmetric distributions over $\{0,1\}^n$. Symmetric distributions are distributions whose PDF is invariant under any permutation of the variables... (read more)

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