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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 226–250 of 704 papers

TitleStatusHype
Conformal Prediction Regions are Imprecise Highest Density Regions—0
Adaptive Conformal Regression with Jackknife+ Rescaled Scores—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression—0
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
Conformalizing Machine Translation Evaluation—0
Conformal Predictions for Longitudinal Data—0
Conformalized Unconditional Quantile Regression—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift—0
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
An Information Theoretic Perspective on Conformal Prediction—0
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data—0
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Conformalized Selective Regression—0
Conformal coronary calcification volume estimation with conditional coverage via histogram clustering—0
Conformal Prediction with Temporal Quantile Adjustments—0
Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction—0
Conformal Predictive Portfolio Selection—0
Conformal Predictive Programming for Chance Constrained Optimization—0
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms—0
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