An adaptive dimension reduction algorithm for latent variables of variational autoencoder.
Yiran DongChuanhou GaoPublished in: CoRR (2021)
Keyphrases
- latent variables
- variational approximation
- probabilistic model
- posterior distribution
- prior knowledge
- random variables
- real valued
- latent variable models
- approximate inference
- gaussian process
- image segmentation
- topic models
- variational bayes
- hidden variables
- hierarchical model
- structural svms
- probabilistic graphical models
- variational methods
- structured output
- observed variables
- conditionally independent
- exact inference
- latent space
- max margin
- free energy
- causal relationships
- factor graphs
- graphical models
- bayesian learning
- restricted boltzmann machine
- belief propagation
- machine learning