Neural Density Estimation and Likelihood-free Inference.
George PapamakariosPublished in: CoRR (2019)
Keyphrases
- density estimation
- log likelihood
- expectation propagation
- mixture of gaussians
- mixture model
- probability density
- maximum likelihood
- probability density function
- mixture modeling
- em algorithm
- density function
- nonparametric density estimation
- parzen window
- outlier detection
- bayesian networks
- exponential family
- kernel density estimation
- bayesian inference
- expectation maximization
- density estimates
- density estimators
- data mining
- multivariate gaussian distribution
- gaussian mixture model
- image processing
- random fields
- mutual information
- supervised learning