Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey.
Benyamin GhojoghAli GhodsiFakhri KarrayMark CrowleyPublished in: CoRR (2021)
Keyphrases
- factor analysis
- variational inference
- variational methods
- probabilistic principal component analysis
- latent variables
- posterior distribution
- bayesian inference
- topic models
- independent component analysis
- gaussian process
- cluster analysis
- approximate inference
- probabilistic graphical models
- discriminant analysis
- latent dirichlet allocation
- optic flow
- em algorithm
- free energy
- probabilistic model
- closed form
- mixture model
- level set
- matrix factorization
- statistical tests
- exponential family
- hyperparameters
- curve evolution
- exact inference
- image segmentation
- prior knowledge
- generative model
- graphical models
- parameter estimation
- optical flow estimation
- expectation maximization
- pairwise
- training data