Posterior Ratio Estimation for Latent Variables.
Yulong ZhangMingxuan YiSong LiuMladen KolarPublished in: CoRR (2020)
Keyphrases
- latent variables
- posterior distribution
- probabilistic model
- gaussian process
- random variables
- hierarchical model
- variational bayes
- parameter estimation
- approximate inference
- structural svms
- latent variable models
- real valued
- topic models
- probability distribution
- hidden variables
- conditionally independent
- prior knowledge
- latent space
- posterior probability
- bayesian framework
- factor graphs
- max margin
- structured prediction
- markov chain monte carlo
- data sets
- causal relationships
- graphical models
- maximum likelihood
- bayesian networks
- density estimation