On the Complexity of Approximating the VC Dimension

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Computer Sciences
Statistics and Probability
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Mossel, Elchanan
Umans, Christopher
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We study the complexity of approximating the VC dimension of a collection of sets, when the sets are encoded succinctly by a small circuit. We show that this problem is: •Σ3p-hard to approximate to within a factor 2−ε for all ε>0, •approximable in AM to within a factor 2, and •AM-hard to approximate to within a factor N1−ε for all ε>0. To obtain the Σ3p-hardness result we solve a randomness extraction problem using list-decodable binary codes; for the positive result we utilize the Sauer–Shelah(–Perles) Lemma. We prove analogous results for the q-ary VC dimension, where the approximation threshold is q.

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2002-12-01
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Journal of Computer and System Sciences
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