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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 551–575 of 704 papers

TitleStatusHype
Calibrating AI Models for Wireless Communications via Conformal Prediction—0
Sequential Predictive Conformal Inference for Time SeriesCode1
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
A Cross-Conformal Predictor for Multi-label Classification—0
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target—0
Distribution Free Prediction Sets for Node ClassificationCode0
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Conformal Prediction for STL Runtime Verification—0
Exact and Approximate Conformal Inference for Multi-Output Regression—0
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction—0
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction—0
Bayesian Optimization with Conformal Prediction SetsCode1
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction—0
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction—0
Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled ExamplesCode0
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal PredictionCode0
Conformalized Fairness via Quantile RegressionCode0
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov ChainsCode0
Predictive Inference with Feature Conformal PredictionCode1
Batch Multivalid Conformal PredictionCode1
Label Noise Robustness of Conformal Prediction—0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization—0
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Conformal Risk ControlCode1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
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