Unsupervised Data Imputation via Variational Inference of Deep Subspaces.
Adrian V. DalcaJohn V. GuttagMert R. SabuncuPublished in: CoRR (2019)
Keyphrases
- variational inference
- data imputation
- missing values
- exponential family
- bayesian inference
- topic models
- posterior distribution
- high dimensional data
- missing data
- gaussian process
- probabilistic model
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- closed form
- mixture model
- semi supervised
- hyperparameters
- unsupervised learning
- graphical models
- factor graphs
- supervised learning
- exact inference
- approximate inference
- high dimensional
- incomplete data
- generative model
- feature selection
- machine learning
- expectation maximization
- feature space
- pattern recognition