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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.06494 |
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| _version_ | 1866929751732518912 |
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| author | Zhou, Xiaofan Chen, Baiting Gui, Yu Cheng, Lu |
| author_facet | Zhou, Xiaofan Chen, Baiting Gui, Yu Cheng, Lu |
| contents | Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework, reliably provides valid predictive inference for black-box models. CP constructs prediction sets that contain the true output with a specified probability. However, modern data science diverse modalities, along with increasing data and model complexity, challenge traditional CP methods. These developments have spurred novel approaches to address evolving scenarios. This survey reviews the foundational concepts of CP and recent advancements from a data-centric perspective, including applications to structured, unstructured, and dynamic data. We also discuss the challenges and opportunities CP faces in large-scale data and models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06494 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Conformal Prediction: A Data Perspective Zhou, Xiaofan Chen, Baiting Gui, Yu Cheng, Lu Machine Learning 68T37 A.1 Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework, reliably provides valid predictive inference for black-box models. CP constructs prediction sets that contain the true output with a specified probability. However, modern data science diverse modalities, along with increasing data and model complexity, challenge traditional CP methods. These developments have spurred novel approaches to address evolving scenarios. This survey reviews the foundational concepts of CP and recent advancements from a data-centric perspective, including applications to structured, unstructured, and dynamic data. We also discuss the challenges and opportunities CP faces in large-scale data and models. |
| title | Conformal Prediction: A Data Perspective |
| topic | Machine Learning 68T37 A.1 |
| url | https://arxiv.org/abs/2410.06494 |