Conformal e-prediction in the presence of confounding
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866915855038676992 |
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| author | Vovk, Vladimir Wang, Ruodu |
| author_facet | Vovk, Vladimir Wang, Ruodu |
| contents | This note extends conformal e-prediction to cover the case where there is observed confounding between the random object $X$ and its label $Y$. We consider both the case where the observed data is IID and a case where some dependence between observations is permitted. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_11134 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Conformal e-prediction in the presence of confounding Vovk, Vladimir Wang, Ruodu Statistics Theory Machine Learning 68Q32 (Primary) 62G15, 68T05 (Secondary) This note extends conformal e-prediction to cover the case where there is observed confounding between the random object $X$ and its label $Y$. We consider both the case where the observed data is IID and a case where some dependence between observations is permitted. |
| title | Conformal e-prediction in the presence of confounding |
| topic | Statistics Theory Machine Learning 68Q32 (Primary) 62G15, 68T05 (Secondary) |
| url | https://arxiv.org/abs/2603.11134 |