Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference.
Xinyu HuPaul A. SzerlipTheofanis KaraletsosRohit SinghPublished in: CoRR (2019)
Keyphrases
- neural network
- neural network model
- artificial neural networks
- bayesian networks
- recurrent neural networks
- bayesian inference
- pattern recognition
- bayesian models
- non stationary
- neuro fuzzy
- feed forward
- multilayer perceptron
- maximum likelihood
- statistical inference
- probabilistic inference
- function approximation
- fuzzy logic
- bayesian model
- variational inference
- prediction model
- posterior distribution
- bayesian learning
- multivariate time series
- genetic algorithm
- back propagation neural network
- neural nets
- back propagation
- markov chain monte carlo
- training process
- posterior probability
- inference process
- self organizing maps
- parameter estimation
- graphical models
- bayesian analysis
- echo state networks