Meta-Learning for Variational Inference.
Ruqi ZhangYingzhen LiChristopher De SaSam DevlinCheng ZhangPublished in: CoRR (2020)
Keyphrases
- meta learning
- variational inference
- bayesian inference
- model selection
- gaussian process
- posterior distribution
- topic models
- probabilistic model
- variational methods
- mixture model
- probabilistic graphical models
- inductive learning
- learning tasks
- latent dirichlet allocation
- closed form
- machine learning algorithms
- hyperparameters
- approximate inference
- decision trees
- data mining
- machine learning
- graphical models
- exponential family
- metamodel
- generative model
- probability distribution
- cross validation
- knn
- feature selection
- parameter estimation
- maximum likelihood
- learning algorithm