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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 201–225 of 704 papers

TitleStatusHype
Conformalizing Machine Translation Evaluation—0
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers—0
Conformal Prediction for Natural Language Processing: A Survey—0
Conformal Prediction for Network-Assisted Regression—0
Conformal Prediction for STL Runtime Verification—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Conditional Conformal Risk Adaptation—0
Conformalized Unconditional Quantile Regression—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformal Prediction for Trustworthy Detection of Railway Signals—0
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
Conformal Prediction in Dynamic Biological Systems—0
Conformal Prediction in Hierarchical Classification—0
An Information Theoretic Perspective on Conformal Prediction—0
Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery—0
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
Conformal Predictors for Compound Activity Prediction—0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
Conformal Prediction Intervals for Neural Networks Using Cross Validation—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
Confidence Calibration for Systems with Cascaded Predictive Modules—0
Label Noise Robustness of Conformal Prediction—0
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning—0
Conformalized Selective Regression—0
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