Meta-Learning with Shared Amortized Variational Inference.
Ekaterina IakovlevaJakob VerbeekKarteek AlahariPublished in: ICML (2020)
Keyphrases
- meta learning
- variational inference
- bayesian inference
- model selection
- gaussian process
- mixture model
- inductive learning
- topic models
- learning tasks
- probabilistic model
- posterior distribution
- probabilistic graphical models
- closed form
- decision trees
- latent dirichlet allocation
- variational methods
- machine learning algorithms
- approximate inference
- worst case
- exponential family
- hyperparameters
- feature selection
- machine learning
- parameter estimation
- metamodel
- data mining
- unsupervised learning
- base classifiers
- active learning
- cross validation
- graphical models
- knowledge discovery
- prior information
- training set
- image segmentation
- maximum a posteriori