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Disentangling the Gauss-Newton Method and Approximate Inference for
  Neural Networks

Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks

21 July 2020
Alexander Immer
    BDL
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Papers citing "Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks"

1 / 1 papers shown
Title
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
1