Learning Deep Generative Models with Short Run Inference Dynamics.
Erik NijkampBo PangTian HanLinqi ZhouSong-Chun ZhuYing Nian WuPublished in: CoRR (2019)
Keyphrases
- generative model
- boltzmann machine
- parameter learning
- discriminative learning
- deep belief networks
- learning process
- learning algorithm
- prior knowledge
- conditional random fields
- probabilistic model
- deep learning
- hidden variables
- reinforcement learning
- representational power
- short run
- long run
- supervised learning
- bayesian networks
- structured prediction
- learning tasks
- active learning
- pairwise
- decision trees