Bayesian Neural Network Priors Revisited.
Vincent FortuinAdrià Garriga-AlonsoSebastian W. OberFlorian WenzelGunnar RätschRichard E. TurnerMark van der WilkLaurence AitchisonPublished in: ICLR (2022)
Keyphrases
- neural network
- prior distribution
- prior probabilities
- bayesian models
- bayesian approaches
- bayesian framework
- neural network model
- posterior distribution
- artificial neural networks
- back propagation
- bayesian networks
- recurrent neural networks
- neural network is trained
- fuzzy neural network
- bayesian learning
- backpropagation neural network
- gaussian processes
- multi layer
- prediction model
- maximum a posteriori
- pattern recognition
- bayesian model
- knn
- fuzzy logic
- data driven
- dirichlet prior
- maximum likelihood
- model selection
- bayesian decision
- self organizing maps
- posterior probability
- generalized em algorithm
- learning vector quantization
- learned from training data
- metropolis hastings algorithm
- scoring metrics
- fuzzy artmap
- neural nets
- prior model
- feed forward neural networks
- activation function
- associative memory