194 citations · 543 across the 29 of their papers we have counts for
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stat.ML2017
Deep Prior
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh +3
The recent literature on deep learning offers new tools to learn a rich probability distribution over high dimensional data such as images or sounds. In this work we investigate th…
stat.ML2017★ 15 cited
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam +3
We study Bayesian hypernetworks: a framework for approximate Bayesian inference in neural networks. A Bayesian hypernetwork $\h$ is a neural network which learns to transform a sim…