Variational Inference with Gaussian Mixture by Entropy Approximation.
Takashi FuruyaHiroyuki KusumotoKoichi TaniguchiNaoya KannoKazuma SuetakePublished in: CoRR (2022)
Keyphrases
- gaussian mixture
- variational inference
- closed form
- mixture model
- exponential family
- em algorithm
- hyperparameters
- gaussian mixture model
- expectation maximization
- bayesian inference
- probabilistic model
- probability density function
- covariance matrix
- density estimation
- generative model
- variational methods
- gaussian process
- log likelihood
- latent dirichlet allocation
- topic models
- posterior distribution
- maximum likelihood
- approximate inference
- probability distribution
- image processing