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Trace-class Gaussian priors for Bayesian learning of neural networks
  with MCMC

Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC

20 December 2020
Torben Sell
Sumeetpal S. Singh
    BDL
ArXivPDFHTML

Papers citing "Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC"

5 / 5 papers shown
Title
Function-Space MCMC for Bayesian Wide Neural Networks
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti
Stefano Favaro
Stefano Peluchetti
BDL
124
0
0
26 Aug 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights
Posterior and variational inference for deep neural networks with heavy-tailed weights
Ismael Castillo
Paul Egels
BDL
57
3
0
05 Jun 2024
Consistency of Bayesian inference with Gaussian process priors in an
  elliptic inverse problem
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
M. Giordano
Richard Nickl
31
57
0
16 Oct 2019
Well-posed Bayesian Inverse Problems with Infinitely-Divisible and
  Heavy-Tailed Prior Measures
Well-posed Bayesian Inverse Problems with Infinitely-Divisible and Heavy-Tailed Prior Measures
Bamdad Hosseini
35
34
0
23 Sep 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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