Analysis of random sequential message passing algorithms for approximate inference
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DOI: 10.1088/1742-5468/ac764a
Abstract: We analyze the dynamics of a random sequential message passing algorithm for approximate inference with large Gaussian latent variable models in a student–teacher scenario. To model nontrivial dependencies between the latent variables, we assume random… read more here.
Keywords: random sequential; message passing; sequential message; model ... See more keywords