Better Approximate Inference for Partial Likelihood Models with a Latent Structure.
Amrith SetlurBarnabás PóczosPublished in: CoRR (2019)
Keyphrases
- approximate inference
- latent structure
- latent variables
- graphical models
- structured prediction
- probabilistic inference
- parameter estimation
- probabilistic model
- machine learning
- maximum likelihood
- latent variable models
- training data
- prior knowledge
- discriminative learning
- efficient learning
- bayesian networks
- gaussian process
- message passing
- belief propagation
- model selection