Sparse Hilbert-Schmidt Independence Criterion Regression.
Benjamin PoignardMakoto YamadaPublished in: AISTATS (2020)
Keyphrases
- hilbert schmidt independence criterion
- feature selection
- feature space
- sparse bayesian learning
- sparse regression
- high dimensional
- relevance vector machine
- sparse representation
- kernel learning
- regression model
- dimensionality reduction
- support vector machine svm
- low rank
- support vector regression
- active learning
- pattern recognition
- training data
- decision trees