Nonparametric Bayesian inference on multivariate exponential families.
William Vega-BrownMarek DoniecNicholas RoyPublished in: NIPS (2014)
Keyphrases
- bayesian inference
- variational bayes
- variational inference
- hierarchical bayesian
- exponential family
- hidden variables
- hyperparameters
- markov chain monte carlo
- probabilistic model
- density estimation
- prior information
- regression model
- expectation propagation
- log likelihood
- particle filter
- statistical models
- closed form
- maximum likelihood
- graphical models
- statistical model
- posterior distribution
- image segmentation
- gaussian process
- mixture model
- unsupervised learning
- dynamic programming