Particle-based energetic variational inference.
Yiwei WangJiuhai ChenChun LiuLulu KangPublished in: Stat. Comput. (2021)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- gaussian process
- probabilistic model
- probabilistic graphical models
- latent dirichlet allocation
- variational methods
- mixture model
- closed form
- exact inference
- factor graphs
- approximate inference
- exponential family
- latent variables
- parameter estimation
- graphical models
- hyperparameters
- generative model
- text mining
- bayesian framework
- markov networks
- data mining
- regression model
- prior information
- expectation maximization
- probability distribution
- feature selection