On numerical approximation schemes for expectation propagation.
Alexis RochePublished in: CoRR (2016)
Keyphrases
- approximation schemes
- expectation propagation
- numerical methods
- gaussian process classification
- gaussian process
- approximate inference
- bayesian inference
- approximation algorithms
- density estimation
- graphical models
- bayesian methods
- variational bayes
- differential equations
- latent variables
- dynamic bayesian networks
- probabilistic inference
- machine learning
- bayesian framework
- gaussian processes
- parameter estimation
- bayesian networks
- computer vision