Flexible Bayesian Inference by Weight Transfer for Robust Deep Neural Networks.
Thi Thu Thao KhongTakashi NakadaYasuhiko NakashimaPublished in: IEICE Trans. Inf. Syst. (2021)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- statistical inference
- markov networks
- weighted model counting
- hierarchical bayesian
- variational bayes
- artificial neural networks
- probabilistic modeling
- variational inference
- expectation propagation
- bayesian models
- gibbs sampler
- transfer learning
- density estimation
- prior distribution
- probabilistic graphical models
- mixture model
- search space