Web: http://arxiv.org/abs/2209.10091

Sept. 22, 2022, 1:11 a.m. | Achille Nazaret, David Blei

cs.LG updates on arXiv.org arxiv.org

We introduce the unbounded depth neural network (UDN), an infinitely deep
probabilistic model that adapts its complexity to the training data. The UDN
contains an infinite sequence of hidden layers and places an unbounded prior on
a truncation L, the layer from which it produces its data. Given a dataset of
observations, the posterior UDN provides a conditional distribution of both the
parameters of the infinite neural network and its truncation. We develop a
novel variational inference algorithm to approximate …

arxiv inference networks neural networks

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