Solving Machine Learning Problems.
Sunny TranPranav KrishnaIshan PakuwalPrabhakar KafleNikhil SinghJayson LynchIddo DroriPublished in: ACML (2021)
Keyphrases
- learning problems
- learning tasks
- convex optimization problems
- machine learning algorithms
- supervised learning
- kernel methods
- learning algorithm
- learning machines
- pac learning
- machine learning
- reinforcement learning
- sample complexity
- multi task learning
- kernel based learning
- computational learning theory
- multiple kernel learning
- statistical learning theory
- structured sparsity
- semi supervised learning
- multi task
- convex optimization
- transfer learning
- text classification
- active learning
- knowledge discovery
- reproducing kernel hilbert space
- learning experience