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What is Learnable in Valiant's Theory of the Learnable? 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Cumulants of multiinformation density in the case of a multivariate normal distribution
Guillaume Marrelec, Alain Giron · 2019-08-20 · via math.ST updates on arXiv.org

We consider a generalization of information density to a partitioning into $N \geq 2$ subvectors. We calculate its cumulant-generating function and its cumulants, showing that these quantities are only a function of all the regression coefficients associated with the partitioning.

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