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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 76–100 of 704 papers

TitleStatusHype
Conformal Prediction via Regression-as-ClassificationCode1
Conformal Prediction with Missing ValuesCode1
Conformal Predictive Systems Under Covariate ShiftCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
coverforest: Conformal Predictions with Random Forest in PythonCode1
Conformal Prediction for Time Series with Modern Hopfield NetworksCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE ControlCode1
Improving Adaptive Conformal Prediction Using Self-Supervised LearningCode1
Inductive Conformal Prediction: A Straightforward Introduction with Examples in PythonCode1
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
Large language model validity via enhanced conformal prediction methodsCode1
Locally Valid and Discriminative Prediction Intervals for Deep Learning ModelsCode1
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty PropagationCode1
Class-Conditional Conformal Prediction with Many ClassesCode1
Multi-class probabilistic classification using inductive and cross Venn-Abers predictorsCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
A Conformal Predictive Measure for Assessing Catastrophic Forgetting—0
Conformal Contextual Robust Optimization—0
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
Adapting Conformal Prediction to Distribution Shifts Without Labels—0
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