Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks.
Agustinus KristiadiRuna EschenhagenPhilipp HennigPublished in: NeurIPS (2022)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- artificial neural networks
- bayesian estimation
- pattern recognition
- fuzzy logic
- back propagation
- bayesian networks
- maximum likelihood
- multi layer
- artificial intelligence
- high efficiency
- multi class
- computational complexity
- fault diagnosis
- decision trees
- multilayer perceptron
- neural nets
- fuzzy systems
- gaussian process
- bayesian learning
- genetic algorithm