Riemannian Laplace approximations for Bayesian neural networks.
Federico BergaminPablo Moreno-MuñozSøren HaubergGeorgios ArvanitidisPublished in: NeurIPS (2023)
Keyphrases
- neural network
- expectation propagation
- pattern recognition
- bayesian inference
- artificial neural networks
- approximate inference
- bayesian networks
- fuzzy logic
- maximum likelihood
- euclidean space
- bayesian methods
- genetic algorithm
- neural nets
- recurrent neural networks
- self organizing maps
- back propagation
- fisher information
- posterior probability
- probability distribution
- information geometry
- training process
- posterior distribution
- affine invariant
- multilayer perceptron
- shape analysis
- feed forward
- learning algorithm