Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution.
Joel Janek DabrowskiDaniel Edward PagendamPublished in: CoRR (2022)
Keyphrases
- neural network
- bayesian framework
- markov chain monte carlo
- probabilistic model
- posterior distribution
- bayesian networks
- neural network model
- bayesian inference
- prior knowledge
- bayesian models
- variational inference
- structured prediction
- statistical models
- posterior probability
- random fields
- variational approximation
- bayesian methods
- model selection
- fuzzy logic
- support vector machine
- training data