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20192026
most citedEmpirical Study of the Benefits of Overparameterization in Learning Latent Variable Models

6 citations · 8 across the 10 of their papers we have counts for

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cs.LG2020★ 1 cited

Learning Restricted Boltzmann Machines with Sparse Latent Variables

Guy Bresler, Rares-Darius Buhai

Restricted Boltzmann Machines (RBMs) are a common family of undirected graphical models with latent variables. An RBM is described by a bipartite graph, with all observed variables…