Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights.
Insung KongYongdai KimPublished in: CoRR (2024)
Keyphrases
- fully connected
- neural network
- prior probabilities
- posterior probability
- activation function
- artificial neural networks
- posterior distribution
- linear combination
- conditional random fields
- back propagation
- scale free
- bayesian inference
- bayesian framework
- higher order
- information extraction
- probability distribution
- bayesian networks
- similarity measure
- information retrieval