What Are Bayesian Neural Network Posteriors Really Like?
Pavel IzmailovSharad VikramMatthew D. HoffmanAndrew Gordon WilsonPublished in: ICML (2021)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- bayesian networks
- back propagation
- pattern recognition
- bayesian estimation
- artificial neural networks
- bayesian learning
- neural network model
- probability distribution
- neural network is trained
- genetic algorithm
- fuzzy neural network
- multi layer
- multilayer perceptron
- fuzzy logic
- neural nets
- bayesian framework
- network model
- radial basis function
- parameter estimation
- multi layer perceptron
- maximum likelihood
- data driven
- image reconstruction from projections
- bp neural network
- learning vector quantization
- backpropagation neural network
- fermentation process