Variational inference for high dimensional structured factor copulas.
Hoang NguyenMaría Concepción AusínPedro GaleanoPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- variational inference
- high dimensional
- probabilistic graphical models
- bayesian inference
- topic models
- variational methods
- mixture model
- closed form
- posterior distribution
- gaussian process
- probabilistic model
- latent dirichlet allocation
- graphical models
- approximate inference
- exponential family
- exact inference
- dimensionality reduction
- low dimensional
- high dimensional data
- data points
- latent variables
- hyperparameters
- probabilistic inference
- feature space
- markov networks
- machine learning
- prior information
- belief propagation
- factor graphs