Meta-Learning for Stochastic Gradient MCMC.
Wenbo GongYingzhen LiJosé Miguel Hernández-LobatoPublished in: CoRR (2018)
Keyphrases
- meta learning
- stochastic gradient
- markov chain monte carlo
- learning tasks
- markov chain
- inductive learning
- monte carlo
- machine learning algorithms
- model selection
- posterior distribution
- stochastic gradient descent
- machine learning
- nearest neighbor classifier
- decision trees
- data mining
- feature selection
- metamodel
- bayesian inference
- base classifiers
- particle filtering
- transfer learning
- step size
- particle filter
- importance sampling
- hyperparameters
- loss function
- approximate inference
- learning algorithm