Corpus ID: 785634

A Dirty Model for Multi-task Learning

@inproceedings{Jalali2010ADM,
  title={A Dirty Model for Multi-task Learning},
  author={A. Jalali and Pradeep Ravikumar and S. Sanghavi and Chao Ruan},
  booktitle={NIPS},
  year={2010}
}
We consider multi-task learning in the setting of multiple linear regression, and where some relevant features could be shared across the tasks. Recent research has studied the use of l1/lq norm block-regularizations with q > 1 for such block-sparse structured problems, establishing strong guarantees on recovery even under high-dimensional scaling where the number of features scale with the number of observations. However, these papers also caution that the performance of such block-regularized… Expand
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