Iteratively Reweighted Group Lasso Based on Log-Composite Regularization.
Chengyu KeMiju AhnSunyoung ShinYifei LouPublished in: SIAM J. Sci. Comput. (2021)
Keyphrases
- group lasso
- variable selection
- regression model
- structured sparsity
- mixed norm
- regularization term
- efficient optimization
- multi label learning
- contingency tables
- multi task
- multiple kernel learning
- low rank
- multi task learning
- convex optimization
- regression problems
- model selection
- total variation
- cross validation
- learning tasks
- energy function
- multi class
- high dimensional
- infinite dimensional
- linear regression
- image processing
- dimension reduction
- transfer learning
- high dimensional data
- low dimensional
- cost function
- support vector