Web: http://arxiv.org/abs/2008.06687

Sept. 15, 2022, 1:12 a.m. | Csongor Várady (1), Riccardo Volpi (2), Luigi Malagò (2), Nihat Ay (1) ((1) Institute for Data Science Foundations, Hamburg University of Te

stat.ML updates on arXiv.org arxiv.org

Helmholtz Machines (HMs) are a class of generative models composed of two
Sigmoid Belief Networks (SBNs), acting respectively as an encoder and a
decoder. These models are commonly trained using a two-step optimization
algorithm called Wake-Sleep (WS) and more recently by improved versions, such
as Reweighted Wake-Sleep (RWS) and Bidirectional Helmholtz Machines (BiHM). The
locality of the connections in an SBN induces sparsity in the Fisher
Information Matrices associated to the probabilistic models, in the form of a
finely-grained block-diagonal …

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