Meta-Learning For Stochastic Gradient MCMC.
Wenbo GongYingzhen LiJosé Miguel Hernández-LobatoPublished in: ICLR (Poster) (2019)
Keyphrases
- meta learning
- stochastic gradient
- markov chain monte carlo
- markov chain
- learning tasks
- inductive learning
- model selection
- monte carlo
- machine learning algorithms
- decision trees
- nearest neighbor classifier
- stochastic gradient descent
- posterior distribution
- machine learning
- data mining
- metamodel
- bayesian inference
- learning algorithm
- cross validation
- base classifiers
- feature selection
- machine learning methods
- inductive logic programming
- learning experience
- approximate inference
- supervised learning
- prior knowledge