Mixture weights optimisation for Alpha-Divergence Variational Inference.
Kamélia DaudelRandal DoucPublished in: CoRR (2021)
Keyphrases
- variational inference
- mixture model
- bayesian nonparametric
- exponential family
- bayesian inference
- dirichlet process
- hierarchical dirichlet process
- probabilistic model
- gaussian process
- topic models
- posterior distribution
- variational methods
- probabilistic graphical models
- latent dirichlet allocation
- closed form
- expectation maximization
- gaussian mixture model
- density estimation
- generative model
- graphical models
- maximum likelihood
- exact inference
- em algorithm
- model selection
- hyperparameters
- statistical models
- belief propagation
- bayesian networks
- missing values
- image segmentation
- least squares
- approximate inference
- multiscale
- support vector
- hidden markov models
- feature selection
- probability distribution
- language model
- conditional probabilities
- particle filter
- information retrieval
- parameter estimation