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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 551–600 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
Group conditional validity via multi-group learning—0
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement LearningCode0
Universal distribution of the empirical coverage in split conformal predictionCode0
Design-based conformal predictionCode0
Conformal Prediction for Network-Assisted Regression—0
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal PredictionCode0
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling—0
Physics Constrained Motion Prediction with Uncertainty Quantification—0
Conformal Prediction for Trustworthy Detection of Railway Signals—0
Conformal Loss-Controlling Prediction—0
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging—0
Calibrating AI Models for Wireless Communications via Conformal Prediction—0
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
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
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
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