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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 601–625 of 704 papers

TitleStatusHype
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 Prediction Bands for Two-Dimensional Functional Time Series—0
A novel Deep Learning approach for one-step Conformal Prediction approximationCode0
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction—0
Improved conformalized quantile regression—0
ACHO: Adaptive Conformal Hyperparameter Optimization—0
"Even if ..." -- Diverse Semifactual Explanations of RejectCode0
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCode0
Split Localized Conformal PredictionCode0
Three Applications of Conformal Prediction for Rating Breast Density in Mammography—0
Conformal Off-policy PredictionCode0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
Conformal Off-Policy Prediction in Contextual Bandits—0
Conformal Credal Self-Supervised LearningCode0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
A Confidence Machine for Sparse High-Order Interaction ModelCode0
Conformal Prediction Intervals with Temporal DependenceCode0
Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee—0
Conformal Prediction with Temporal Quantile Adjustments—0
Achieving Risk Control in Online Learning SettingsCode0
On the Utility of Prediction Sets in Human-AI Teams—0
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing—0
Raman Spectrum Matching with Contrastive Representation Learning—0
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