Web: http://arxiv.org/abs/2201.09986

Jan. 26, 2022, 2:10 a.m. | Ali Bereyhi, Bruno Loureiro, Florent Krzakala, Ralf R. Müller, Hermann Schulz-Baldes

cs.LG updates on arXiv.org arxiv.org

Unlike the classical linear model, nonlinear generative models have been
addressed sparsely in the literature. This work aims to bring attention to
these models and their secrecy potential. To this end, we invoke the replica
method to derive the asymptotic normalized cross entropy in an inverse
probability problem whose generative model is described by a Gaussian random
field with a generic covariance function. Our derivations further demonstrate
the asymptotic statistical decoupling of Bayesian inference algorithms and
specify the decoupled setting …

arxiv bayesian bayesian inference learning models

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