Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
Jonas Gregor WieseLisa WimmerTheodore PapamarkouBernd BischlStephan GünnemannDavid RügamerPublished in: ECML/PKDD (1) (2023)
Keyphrases
- neural network
- markov chain monte carlo
- posterior distribution
- monte carlo
- sampling algorithm
- pattern recognition
- random sampling
- bayesian inference
- metropolis hastings
- uniform sampling
- gaussian processes
- sample size
- fault diagnosis
- generative model
- bayesian networks
- data sets
- machine learning
- sequential monte carlo
- efficient optimization
- sampling strategy
- support vector
- state space
- fuzzy logic
- graphical models
- probabilistic inference
- neural nets
- posterior probability
- neural network model