Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings.
Jean-Francois TonLucian ChanYee Whye TehDino SejdinovicPublished in: CoRR (2019)
Keyphrases
- meta learning
- conditional density estimation
- learning tasks
- inductive learning
- monte carlo
- density ratio
- model selection
- machine learning algorithms
- machine learning
- data mining
- decision trees
- kernel function
- density ratio estimation
- kernel methods
- feature space
- least squares
- semi parametric
- base classifiers
- support vector
- outlier detection
- feature selection
- databases
- independent component analysis
- face recognition
- learning experience
- data sets
- semi supervised