Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression.
Shiliang SunShaojie HePublished in: Neurocomputing (2019)
Keyphrases
- exponential family
- variational bayes
- mixture model
- density estimation
- maximum likelihood
- closed form
- log likelihood
- statistical models
- approximate inference
- graphical models
- variational methods
- missing values
- order statistics
- gaussian mixture model
- expectation maximization
- em algorithm
- markov chain monte carlo
- hidden variables
- belief propagation
- bayesian inference
- probability density function
- language model
- machine learning
- probabilistic inference
- gaussian process
- probability distribution
- generative model
- probabilistic model
- random variables
- learning algorithm