Perturbative Black Box Variational Inference.
Robert BamlerCheng ZhangManfred OpperStephan MandtPublished in: CoRR (2017)
Keyphrases
- black box
- variational inference
- bayesian inference
- topic models
- probabilistic model
- mixture model
- variational methods
- latent dirichlet allocation
- gaussian process
- probabilistic graphical models
- posterior distribution
- closed form
- black boxes
- exponential family
- exact inference
- white box
- test cases
- markov networks
- graphical models
- approximate inference
- data sets
- hyperparameters
- prior information
- bayesian framework
- belief propagation
- language model
- text mining
- semi supervised
- latent variables
- parameter estimation
- generative model
- em algorithm
- optic flow
- least squares
- hidden markov models
- training data
- machine learning