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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
On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling—0
On the Expected Size of Conformal Prediction SetsCode0
Conformalizing Machine Translation Evaluation—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
On training locally adaptive CPCode0
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors—0
Conformal Prediction with Partially Labeled DataCode0
Quantifying Deep Learning Model Uncertainty in Conformal Prediction—0
Adaptive Conformal Regression with Jackknife+ Rescaled Scores—0
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern—0
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees—0
Conformal Nucleus Sampling—0
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling—0
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision—0
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine LearningCode0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Conformal Off-Policy Evaluation in Markov Decision Processes—0
Conformalized Unconditional Quantile Regression—0
Development and Evaluation of Conformal Prediction Methods for QSAR—0
Conformal Prediction Regions for Time Series using Linear Complementarity ProgrammingCode0
Multi-Agent Reachability Calibration with Conformal Prediction—0
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical AnalysisCode0
HappyMap: A Generalized Multi-calibration Method—0
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