HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference.
Jakob KruseGianluca DetommasoUllrich KötheRobert ScheichlPublished in: AAAI (2021)
Keyphrases
- density estimation
- bayesian inference
- expectation propagation
- hierarchical bayesian
- mixture model
- probabilistic model
- prior information
- hyperparameters
- mixture modeling
- probability density function
- density function
- log likelihood
- outlier detection
- parzen window
- probability density
- density estimates
- variational bayes
- expectation maximization
- exponential family
- markov chain monte carlo
- particle filter
- em algorithm
- density estimators
- gaussian mixture model
- data mining
- conditional random fields
- prior distribution
- unsupervised learning
- feature extraction
- decision trees