arXiv:2005.07972
Conformal Prediction: a Unified Review of Theory and New Challenges
원문 초록
In this work we provide a review of basic ideas and novel developments about Conformal Prediction -- an innovative distribution-free, non-parametric forecasting method, based on minimal assumptions -- that is able to yield in a very straightforward way predictions sets that are valid in a statistical sense also in in the finite sample case. The in-depth discussion provided in the paper covers the theoretical underpinnings of Conformal Prediction, and then proceeds to list the more advanced developments and adaptations of the original idea.
함께 살펴볼 논문
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Optimal Conformal Prediction under Epistemic Uncertainty
Valid Selection among Conformal Sets
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Conformal Prediction for Zero-Shot Models
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
토론
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