Mixture of Discrete Normalizing Flows for Variational Inference.
Tomasz KusmierczykArto KlamiPublished in: CoRR (2020)
Keyphrases
- variational inference
- mixture model
- bayesian nonparametric
- exponential family
- bayesian inference
- dirichlet process
- hierarchical dirichlet process
- probabilistic model
- topic models
- gaussian process
- variational methods
- posterior distribution
- probabilistic graphical models
- latent dirichlet allocation
- maximum likelihood
- graphical models
- em algorithm
- expectation maximization
- closed form
- gaussian mixture model
- exact inference
- density estimation
- generative model
- approximate inference
- model selection
- gaussian distribution
- missing values
- statistical models
- language model
- factor graphs
- text mining
- probability density function
- log likelihood
- unsupervised learning
- natural language processing
- multiscale