Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals.
AmirEmad GhassamiAndrew YingIlya ShpitserEric Tchetgen TchetgenPublished in: CoRR (2021)
Keyphrases
- machine learning
- kernel methods
- class separability
- higher order
- regularized image restoration
- reproducing kernel hilbert space
- explanation based learning
- machine learning methods
- kernel function
- computationally efficient
- supervised learning
- support vector machine
- pattern recognition
- feature selection
- learning algorithm
- data mining
- pairwise
- training set
- machine learning algorithms
- transfer learning
- support vector
- decision trees
- learning problems
- computational biology
- neural network