Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders.
Natasa TagasovskaDamien AckererThibault VatterPublished in: CoRR (2019)
Keyphrases
- generative model
- high dimensional
- dependence structure
- sparse coding
- deep belief networks
- probabilistic model
- denoising
- mixture model
- hidden variables
- em algorithm
- hierarchical hidden markov models
- discriminative learning
- semi supervised
- markov networks
- low dimensional
- prior knowledge
- topic models
- object categories
- discriminative models
- dimensionality reduction
- feature space
- marginal distributions
- data points
- conditional random fields
- expectation maximization
- maximum entropy principle
- representational power
- generative and discriminative models
- probabilistic graphical models
- parameter learning
- restricted boltzmann machine
- semi supervised learning
- training set