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The Jacobian and Hessian of the Kullback-Leibler Divergence between Multivariate Gaussian Distributions (Technical Report)

arXiv 2506.23996 ↗First posted 30 Jun 2025cs.LG math.OCcited by 1

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Abstract (arXiv)

This document shows how to obtain the Jacobian and Hessian matrices of the Kullback-Leibler divergence between two multivariate Gaussian distributions, using the first and second-order differentials. The presented derivations are based on the theory presented by citemagnus99. I've also got great inspiration from some of the derivations in citeminka. Since I pretend to be at most didactic, the document is split into a summary of results and detailed derivations on each of the elements involved, with specific references to the tricks used in the derivations, and to many of the underlying concepts.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 3 references that are in the map. First posted on arXiv 30 Jun 2025.

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