Implementation of Bayesian Inference In Distributed Neural Networks.
Zhaofei YuTiejun HuangJian K. LiuPublished in: PDP (2018)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- variational inference
- variational bayes
- distributed systems
- gibbs sampler
- expectation propagation
- particle filter
- statistical inference
- markov chain monte carlo
- weighted model counting
- hierarchical bayesian
- prior distribution
- hidden variables
- peer to peer
- probabilistic modeling
- neural network model
- optimal solution