Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
On the Natural Gradient of the Evidence Lower Bound
Saved in:
| Published in: | Journal of Machine Learning Research |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030190227685380 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Machine Learning Research |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:4824 |
| institution | FRELIP |
| journal_source_facet | Journal of Machine Learning Research |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | On the Natural Gradient of the Evidence Lower Bound Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | On the Natural Gradient of the Evidence Lower Bound |
| title_auth | On the Natural Gradient of the Evidence Lower Bound |
| title_full | On the Natural Gradient of the Evidence Lower Bound |
| title_fullStr | On the Natural Gradient of the Evidence Lower Bound |
| title_full_unstemmed | On the Natural Gradient of the Evidence Lower Bound |
| title_short | On the Natural Gradient of the Evidence Lower Bound |
| title_sort | on the natural gradient of the evidence lower bound |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | http://jmlr.org/papers/v26/24-0606.html |