Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
(De)-regularized Maximum Mean Discrepancy Gradient Flow
Saved in:
| Published in: | JMLR |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030190156382217 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JMLR |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:4218 |
| institution | FRELIP |
| journal_source_facet | JMLR |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | (De)-regularized Maximum Mean Discrepancy Gradient Flow Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| subject_facet | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| title | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_auth | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_full | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_fullStr | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_full_unstemmed | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_short | (De)-regularized Maximum Mean Discrepancy Gradient Flow |
| title_sort | (de)-regularized maximum mean discrepancy gradient flow |
| topic | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| url | http://jmlr.org/papers/v26/24-1574.html |