Langevin-gradient parallel tempering for Bayesian neural learning.
Rohitash ChandraKonark JainRatneel Vikash DeoSally CrippsPublished in: Neurocomputing (2019)
Keyphrases
- neural learning
- bayesian inference
- markov chain monte carlo
- multi layered
- probabilistic model
- neural network
- incremental learning
- prior information
- markov networks
- posterior distribution
- restricted boltzmann machine
- hyperparameters
- maximum likelihood
- generative model
- particle filter
- hidden variables
- bayesian networks
- monte carlo
- posterior probability
- markov chain