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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 426–450 of 704 papers

TitleStatusHype
Android Malware Detection with Unbiased Confidence Guarantees—0
Faithful Model Explanations through Energy-Constrained Conformal CounterfactualsCode0
Reliable Prediction Intervals with Regression Neural Networks—0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels—0
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction—0
Conformalised data synthesisCode0
Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape TemplatesCode0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Uncertainty quantification in automated valuation models with spatially weighted conformal predictionCode0
Conformal Prediction in Multi-User Settings: An EvaluationCode0
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction—0
Signal Temporal Logic Control Synthesis among Uncontrollable Dynamic Agents with Conformal PredictionCode0
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees—0
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
Robust Conformal Prediction for STL Runtime Verification under Distribution ShiftCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
Early-Exit Neural Networks with Nested Prediction Sets—0
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts—0
Conformalized Deep Splines for Optimal and Efficient Prediction SetsCode0
Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records—0
CBD: A Certified Backdoor Detector Based on Local Dominant ProbabilityCode0
High-Dimensional Prediction for Sequential Decision Making—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
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