Mixture weights optimisation for Alpha-Divergence Variational Inference.
Kamélia DaudelRandal DoucPublished in: NeurIPS (2021)
Keyphrases
- variational inference
- mixture model
- bayesian nonparametric
- exponential family
- bayesian inference
- dirichlet process
- hierarchical dirichlet process
- gaussian process
- topic models
- probabilistic model
- probabilistic graphical models
- posterior distribution
- variational methods
- gaussian mixture model
- graphical models
- latent dirichlet allocation
- expectation maximization
- closed form
- exact inference
- maximum likelihood
- generative model
- density estimation
- approximate inference
- em algorithm
- unsupervised learning
- log likelihood
- language model
- missing values
- latent variables
- prior information
- order statistics
- factor graphs
- probability distribution
- feature selection