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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
Decision-Focused Uncertainty QuantificationCode0
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering—0
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless SystemsCode0
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Posterior Conformal Prediction—0
Robust Deep Reinforcement Learning for Volt-VAR Optimization in Active Distribution System under Uncertainty—0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Adjusting Regression Models for Conditional Uncertainty CalibrationCode0
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors—0
Neurosymbolic Conformal Classification—0
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in EchocardiographyCode0
Conformal Prediction in Dynamic Biological Systems—0
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers—0
Formal Verification and Control with Conformal Prediction—0
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification—0
Can Transformers Do Enumerative Geometry?Code0
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
Uncertainty Quantification of Surrogate Models using Conformal PredictionCode1
Adaptive Uncertainty Quantification for Generative AI—0
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