Meta-Learning with Shared Amortized Variational Inference.
Ekaterina IakovlevaJakob VerbeekKarteek AlahariPublished in: CoRR (2020)
Keyphrases
- meta learning
- variational inference
- bayesian inference
- model selection
- gaussian process
- topic models
- posterior distribution
- inductive learning
- learning tasks
- mixture model
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- variational methods
- closed form
- hyperparameters
- machine learning algorithms
- machine learning
- exponential family
- feature selection
- data mining
- decision trees
- worst case
- parameter estimation
- graphical models
- base classifiers
- latent variables
- approximate inference
- cross validation
- generative model
- metamodel
- probability distribution
- prior information
- semi supervised
- machine learning methods
- transfer learning