Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression.
Mathurin MassiasOlivier FercoqAlexandre GramfortJoseph SalmonPublished in: AISTATS (2018)
Keyphrases
- multi task
- group lasso
- regression problems
- gaussian processes
- multi task learning
- sparse learning
- structured sparsity
- regression model
- learning tasks
- relevance vector machine
- regularized regression
- feature selection
- sparse regression
- multi class
- multiple tasks
- transfer learning
- multiple kernel learning
- linear regression
- elastic net
- learning problems
- high dimensional
- model selection
- machine learning
- ridge regression
- sparse representation
- information gain
- sparsity inducing
- least squares
- support vector machine
- variable selection
- learning algorithm