Do Bayesian Neural Networks Need To Be Fully Stochastic?
Mrinank SharmaSebastian FarquharEric T. NalisnickTom RainforthPublished in: AISTATS (2023)
Keyphrases
- neural network
- monte carlo sampling
- pattern recognition
- artificial neural networks
- bayesian learning
- bayesian decision
- monte carlo methods
- bayesian estimation
- fuzzy logic
- monte carlo
- neural network model
- multilayer perceptron
- neural nets
- multi layer perceptron
- machine learning
- bayesian networks
- network architecture
- back propagation
- decision theory
- feed forward
- computational intelligence
- decision trees
- bayesian analysis
- stochastic models
- stochastic optimization
- learning automata
- probabilistic model
- activation function
- multi layer
- bayesian inference
- radial basis function