Variational Inference for Deep Probabilistic Canonical Correlation Analysis.
Mahdi KaramiDale SchuurmansPublished in: CoRR (2020)
Keyphrases
- canonical correlation analysis
- variational inference
- probabilistic model
- bayesian inference
- factor graphs
- mixture model
- topic models
- least squares
- probabilistic graphical models
- gaussian process
- latent dirichlet allocation
- generative model
- posterior distribution
- partial least squares
- variational methods
- graphical models
- exponential family
- latent variables
- bayesian networks
- approximate inference
- exact inference
- belief networks
- text mining
- knowledge discovery
- active learning
- prior knowledge