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On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
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| Published in: | JMLR |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190130167812 |
|---|---|
| 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:4010 |
| institution | FRELIP |
| journal_source_facet | JMLR |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes 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 | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_auth | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_full | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_fullStr | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_full_unstemmed | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_short | On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes |
| title_sort | on non-asymptotic theory of recurrent neural networks in temporal point processes |
| topic | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| url | http://jmlr.org/papers/v26/24-1953.html |