Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings.
Jean-Francois TonLucian ChanYee Whye TehDino SejdinovicPublished in: AISTATS (2021)
Keyphrases
- meta learning
- conditional density estimation
- inductive learning
- learning tasks
- monte carlo
- model selection
- decision trees
- density ratio
- machine learning algorithms
- data mining
- machine learning
- kernel function
- kernel methods
- feature selection
- least squares
- metamodel
- base classifiers
- feature space
- knowledge base
- knowledge discovery
- multi class
- pairwise
- software systems
- support vector
- training data
- feature extraction
- learning algorithm