Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
Jonas Gregor WieseLisa WimmerTheodore PapamarkouBernd BischlStephan GünnemannDavid RügamerPublished in: CoRR (2023)
Keyphrases
- neural network
- markov chain monte carlo
- monte carlo
- posterior distribution
- pattern recognition
- bayesian inference
- back propagation
- posterior probability
- markov chain monte carlo sampling
- symmetry detection
- bayesian learning
- random sampling
- maximum likelihood
- artificial neural networks
- particle filter
- markov chain
- approximate inference
- fuzzy logic
- support vector
- proposal distribution
- metropolis hastings
- decision trees