arXiv:2402.01139
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Online conformal prediction with decaying step sizes
원문 초록
We introduce a method for online conformal prediction with decaying step sizes. Like previous methods, ours possesses a retrospective guarantee of coverage for arbitrary sequences. However, unlike previous methods, we can simultaneously estimate a population quantile when it exists. Our theory and experiments indicate substantially improved practical properties: in particular, when the distribution is stable, the coverage is close to the desired level for every time point, not just on average over the observed sequence.
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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
Optimal Conformal Prediction under Epistemic Uncertainty
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
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