Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations
Csáji, Balázs Csanád and Kis, Krisztián Balázs (2019) Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations. MACHINE LEARNING, 108 (8-9). pp. 1677-1699. ISSN 0885-6125 10.1007/s10994-019-05822-1
|
Text
Csaji_1677_30719678_ny.pdf Download (1MB) | Preview |
Official URL: https://doi.org/10.1007%2Fs10994-019-05822-1
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Research Laboratory on Engineering & Management Intelligence |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 15 Aug 2019 08:03 |
| Last Modified: | 17 Nov 2021 14:13 |
| URI: | https://eprints.sztaki.hu/id/eprint/9712 |
 |
Update Item |
