| Authors | E. De Vito, Z. Kereta and V. Naumova |
| Title | A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net |
| Afilliation | Machine Learning |
| Project(s) | FunDaHD: Function-driven Data Learning in High Dimension |
| Status | Submitted |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Journal | arXiv |
| Date Published | 09/2018 |
| Publisher | arXiv |
| Citation Key | 26315 |
By thinking constantly about it…