Fast Second Order Stochastic Backpropagation for Variational Inference.
Kai FanZiteng WangJeffrey M. BeckJames T. KwokKatherine A. HellerPublished in: NIPS (2015)
Keyphrases
- back propagation
- variational inference
- bayesian inference
- neural network
- artificial neural networks
- gaussian process
- mixture model
- probabilistic model
- topic models
- variational methods
- latent dirichlet allocation
- probabilistic graphical models
- posterior distribution
- closed form
- fuzzy logic
- higher order
- exact inference
- exponential family
- learning algorithm
- multilayer perceptron
- approximate inference
- graphical models
- levenberg marquardt
- latent variables
- generative model
- prior knowledge
- markov networks
- regression model
- prior information
- parameter estimation
- training data
- genetic algorithm
- machine learning