Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models.
Lucas KockNadja KleinDavid J. NottPublished in: Stat. Comput. (2023)
Keyphrases
- variational inference
- high dimensional
- gaussian mixture model
- mixture model
- probabilistic model
- em algorithm
- exponential family
- feature space
- generative model
- low dimensional
- bayesian inference
- high dimensional data
- latent dirichlet allocation
- dimensionality reduction
- maximum likelihood
- posterior distribution
- expectation maximization
- topic models
- probability density function
- density estimation
- model selection
- unsupervised learning
- probabilistic graphical models
- dirichlet process
- gaussian distribution
- data points
- variational methods
- variational bayes
- feature vectors
- gaussian process
- parameter space
- closed form
- machine learning
- hidden variables
- object recognition