Meta-Learning Divergences for Variational Inference.
Ruqi ZhangYingzhen LiChristopher De SaSam DevlinCheng ZhangPublished in: AISTATS (2021)
Keyphrases
- meta learning
- variational inference
- exponential family
- model selection
- bayesian inference
- posterior distribution
- mixture model
- maximum likelihood
- closed form
- gaussian process
- learning tasks
- hyperparameters
- inductive learning
- statistical models
- log likelihood
- variational methods
- topic models
- density estimation
- probabilistic model
- machine learning algorithms
- data mining
- missing values
- latent dirichlet allocation
- decision trees
- feature selection
- machine learning
- graphical models
- base classifiers
- probability density function
- approximate inference
- metamodel
- learning experience
- supervised learning
- learning algorithm
- multi label
- higher order
- multi class
- support vector