Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography.
Andrew C. MillerZiad ObermeyerJohn P. CunninghamSendhil MullainathanPublished in: ICML (2019)
Keyphrases
- latent variable models
- latent space
- latent variables
- discriminative learning
- structured output
- real valued
- low dimensional
- hidden markov models
- generative model
- hidden variables
- gaussian process
- latent dirichlet allocation
- parameter space
- semi supervised
- transfer learning
- manifold learning
- prior knowledge
- prior information
- learning problems
- distance metric
- random variables
- structured prediction
- semi supervised learning
- probabilistic latent semantic analysis
- text mining
- probabilistic model
- reinforcement learning