Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior.
Mohammad Sadegh AliakbarianFatemeh Sadat SalehMathieu SalzmannLars PeterssonStephen GouldPublished in: CoRR (2019)
Keyphrases
- latent variables
- posterior distribution
- markov chain monte carlo
- proposal distribution
- prior knowledge
- probabilistic model
- gaussian process
- approximate inference
- hierarchical model
- hidden variables
- latent variable models
- topic models
- bayesian framework
- random variables
- real valued
- variational bayes
- max margin
- factor graphs
- gaussian processes
- conditionally independent
- maximum a posteriori
- latent space
- generative model
- structured prediction
- structural svms
- random sampling
- prior information
- graphical models
- bayesian networks
- bayesian inference
- posterior probability
- conditional random fields
- sample size
- particle filter
- markov chain
- probability distribution
- training data