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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 626–650 of 704 papers

TitleStatusHype
Calibrated Multiple-Output Quantile Regression with Representation LearningCode1
Adversarially Robust Conformal Prediction—0
Trading Coverage for Precision: Conformal Prediction with Limited False Discoveries—0
Sample-Efficient Safety Assurances using Conformal Prediction—0
Anomalous Edge Detection in Edge Exchangeable Social Network Models—0
Fair Conformal Predictors for Applications in Medical ImagingCode0
Neural Predictive Monitoring under Partial ObservabilityCode0
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose—0
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
MD-split+: Practical Local Conformal Inference in High Dimensions—0
Valid prediction intervals for regression problemsCode1
Can a single neuron learn predictive uncertainty?Code0
Locally Valid and Discriminative Prediction Intervals for Deep Learning ModelsCode1
Conformal Uncertainty Sets for Robust Optimization—0
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Conformal Prediction using Conditional HistogramsCode1
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
Root-finding Approaches for Computing Conformal Prediction SetCode0
Conformal testing in a binary model situation—0
Universal Prediction Band via Semi-Definite Programming—0
Conformalized Survival AnalysisCode0
Distribution-free uncertainty quantification for classification under label shift—0
Retrain or not retrain: Conformal test martingales for change-point detection—0
Few-shot Conformal Prediction with Auxiliary TasksCode0
Private Prediction SetsCode1
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