BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling.
Lars MaaløeMarco FraccaroValentin LiévinOle WintherPublished in: NeurIPS (2019)
Keyphrases
- latent variables
- probabilistic model
- prior knowledge
- discriminative methods
- latent variable models
- posterior distribution
- random variables
- gaussian process
- max margin
- hierarchical model
- structured prediction
- factor graphs
- variational bayes
- conditionally independent
- topic models
- generative model
- probabilistic graphical models
- real valued
- approximate inference
- graphical models
- latent space
- observed variables
- data sets
- data analysis
- data mining
- databases