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Conformal Prediction

Conformal Prediction is a machine learning framework that provides valid measures of confidence for individual predictions. It offers a principled approach to quantify uncertainty in predictions without assuming any specific distribution for the data. This section features papers that explore various aspects of conformal prediction, including theoretical advancements, algorithmic developments, and applications across different domains.

Papers

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Showing 251–275 of 704 papers

TitleStatusHype
Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic SpecificationsCode0
Conformal Recursive Feature EliminationCode0
Conformal time series decomposition with component-wise exchangeabilityCode0
Distributional conformal predictionCode0
Distributionally Robust Predictive Runtime Verification under Spatio-Temporal Logic SpecificationsCode0
Distribution-Free Calibration of Statistical Confidence SetsCode0
Decision-Focused Uncertainty QuantificationCode0
Conformal Structured PredictionCode0
Design-based conformal predictionCode0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Data-SUITE: Data-centric identification of in-distribution incongruous examplesCode0
Discounted Adaptive Online Learning: Towards Better RegularizationCode0
Conformal Robust Control of Linear SystemsCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
Conformal Depression PredictionCode0
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesCode0
Conformal Risk Minimization with Variance ReductionCode0
Distribution Free Prediction Sets for Node ClassificationCode0
Conformal Risk Control for Ordinal ClassificationCode0
Conformal-in-the-Loop for Learning with Imbalanced Noisy DataCode0
Distributed Conformal Prediction via Message PassingCode0
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model ReliabilityCode0
Conformalised data synthesisCode0
E-Values Expand the Scope of Conformal PredictionCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
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