Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.
Kelvin HsuFabio RamosPublished in: AISTATS (2019)
Keyphrases
- bayesian learning
- variational bayes
- model selection
- relevance vector machine
- posterior distribution
- bayesian networks
- probabilistic inference
- maximum likelihood
- support vector
- kernel methods
- cross validation
- posterior probability
- expectation maximization
- belief propagation
- graphical models
- dimensionality reduction
- active learning
- training data