| Type | Name | Files | Added | Size | DLs | ||
| Regularization Methods for Machine Learning 2016 | 16 | 4.59GB | 1,560 | 13+ | 2 | ||
| On Spectral Learning | 1 | 152.33kB | 36 | 0 | |||
| Structured Sparsity and Generalization | 1 | 146.96kB | 37 | 0 | |||
| Learning from Multiple Sources | 1 | 510.00kB | 36 | 0 | |||
| Learning the Kernel Function via Regularization | 1 | 221.87kB | 39 | 0 | |||
| Learning Multiple Tasks with Kernel Methods | 1 | 164.09kB | 59 | 1+ | 0 | ||
| Stability of Randomized Learning Algorithms | 1 | 177.76kB | 41 | 0 | |||
| When Is There a Representer Theorem? Vector Versus Matrix Regularizers | 1 | 196.77kB | 33 | 0 |