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Refined Risk Bounds for Unbounded Losses via Transductive Priors
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| Published in: | Journal of Machine Learning Research (JMLR) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301679096922113 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Machine Learning Research (JMLR) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:85126 |
| institution | FRELIP |
| journal_source_facet | Journal of Machine Learning Research (JMLR) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Refined Risk Bounds for Unbounded Losses via Transductive Priors Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_auth | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_full | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_fullStr | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_full_unstemmed | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_short | Refined Risk Bounds for Unbounded Losses via Transductive Priors |
| title_sort | refined risk bounds for unbounded losses via transductive priors |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | http://jmlr.org/papers/v27/25-2745.html |