A Lagrangian Perspective on Latent Variable Generative Models.
Shengjia ZhaoJiaming SongStefano ErmonPublished in: UAI (2018)
Keyphrases
- latent variables
- generative model
- probabilistic model
- topic models
- prior knowledge
- discriminative methods
- hidden variables
- graphical models
- latent structure
- latent variable models
- mixture model
- discriminative learning
- discriminative models
- bayesian networks
- hierarchical model
- latent dirichlet allocation
- random variables
- bayesian inference
- bayesian framework
- structured prediction
- conditional random fields
- expectation maximization
- language model
- latent space
- gaussian process
- object categories
- markov networks
- information retrieval
- hierarchical hidden markov models
- conditional probabilities
- em algorithm
- semi supervised
- information extraction
- reinforcement learning
- image segmentation
- feature selection