Convex regularization in statistical inverse learning problems.
Tatiana A. BubbaMartin BurgerTapio HelinLuca RattiPublished in: CoRR (2021)
Keyphrases
- learning problems
- convex optimization problems
- structured sparsity
- learning tasks
- supervised learning
- learning algorithm
- kernel methods
- machine learning algorithms
- reproducing kernel hilbert space
- semi supervised learning
- computational learning theory
- machine learning
- sample complexity
- pac learning
- kernel machines
- risk minimization
- statistical learning theory
- multi task learning
- reinforcement learning
- multi task
- convex optimization
- information theoretic
- decision trees
- learning experience
- active learning