Web: http://arxiv.org/abs/1911.00569

Sept. 19, 2022, 1:12 a.m. | Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

cs.LG updates on arXiv.org arxiv.org

Bayesian Neural Networks with Latent Variables (BNN+LVs) capture predictive
uncertainty by explicitly modeling model uncertainty (via priors on network
weights) and environmental stochasticity (via a latent input noise variable).
In this work, we first show that BNN+LV suffers from a serious form of
non-identifiability: explanatory power can be transferred between the model
parameters and latent variables while fitting the data equally well. We
demonstrate that as a result, in the limit of infinite data, the posterior mode
over the network …

arxiv bayesian effects inference networks neural networks variables

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