Exact posterior distributions of wide Bayesian neural networks.
Jiri HronYasaman BahriRoman NovakJeffrey PenningtonJascha Sohl-DicksteinPublished in: CoRR (2020)
Keyphrases
- posterior distribution
- neural network
- bayesian learning
- probability distribution
- latent variables
- prior distribution
- parameter estimation
- bayesian framework
- maximum a posteriori
- bayesian model
- posterior probability
- variational inference
- hyperparameters
- markov chain monte carlo
- probabilistic model
- expectation maximization
- gaussian distribution
- fully bayesian
- maximum likelihood
- sequential importance sampling
- markov chain monte carlo methods
- random sampling
- bayesian inference
- dirichlet process
- kalman filter
- random variables