Towards Interpretable Multi-Task Learning Using Bilevel Programming.
Francesco AlesianiShujian YuAmmar ShakerWenzhe YinPublished in: CoRR (2020)
Keyphrases
- multi task learning
- bilevel programming
- learning problems
- optimality conditions
- multi task
- learning tasks
- convex programming
- high order
- gaussian processes
- convergence analysis
- upper level
- supervised learning
- transfer learning
- learning models
- learning algorithm
- theoretical analysis
- machine learning
- feature selection
- higher order
- inductive learning
- kernel methods
- maximum margin
- nonlinear programming
- machine learning algorithms
- semi supervised learning
- support vector machine