Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms.
Quentin BouniotIevgen RedkoRomaric AudigierAngélique LoeschAmaury HabrardPublished in: CoRR (2020)
Keyphrases
- learning algorithm
- learning problems
- learning scheme
- learning process
- linear threshold
- supervised learning
- learning systems
- active learning
- knowledge acquisition
- machine learning algorithms
- distribution free
- online learning
- learning curves
- concept learning
- inductive inference
- kernel machines
- inductive learning
- noise tolerant
- learning mechanism
- sample complexity
- generalization ability
- learning tasks
- upper bound
- training data