How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc HuszarPublished in: CoRR (2015)
Keyphrases
- generative model
- posterior probability
- markov chain monte carlo
- probabilistic model
- likelihood model
- likelihood function
- bayesian framework
- mixture model
- em algorithm
- discriminative learning
- maximum likelihood
- prior knowledge
- sampling algorithm
- latent dirichlet allocation
- discriminative models
- random sampling
- multiscale
- generative and discriminative models
- sampling methods
- fully bayesian
- monte carlo
- topic models
- expectation maximization
- parameter space
- bayesian networks
- fisher kernel
- hierarchical bayesian model
- decision trees
- data sets