Iterative Refinement of the Approximate Posterior for Directed Belief Networks.
R. Devon HjelmRuslan SalakhutdinovKyunghyun ChoNebojsa JojicVince D. CalhounJunyoung ChungPublished in: NIPS (2016)
Keyphrases
- belief networks
- iterative refinement
- probability distribution
- graphical models
- bayesian belief networks
- probabilistic inference
- junction tree
- probabilistic reasoning
- conditional probabilities
- posterior distribution
- exact inference
- probabilistic model
- bayesian networks
- stochastic simulation
- high quality
- random variables
- gaussian process
- multilayer perceptron
- parameter estimation
- data points
- k means
- neural network