Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning.
Richa UpadhyayRonald PhlypoRajkumar SainiMarcus LiwickiPublished in: CoRR (2024)
Keyphrases
- multi task learning
- structured sparsity
- group lasso
- learning problems
- multi task
- learning tasks
- gaussian processes
- theoretical analysis
- transfer learning
- learning algorithm
- machine learning
- semi supervised learning
- supervised learning
- kernel methods
- statistical learning
- regression model
- multi class
- high order
- reinforcement learning
- inductive learning
- decision trees
- machine learning algorithms
- feature space
- learning models
- training data
- variable selection
- feature extraction
- e learning