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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 401–450 of 704 papers

TitleStatusHype
Task-Oriented Mulsemedia Communication using Unified Perceiver and Conformal Prediction in 6G Wireless Systems—0
Improved conformalized quantile regression—0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
Improve ROI with Causal Learning and Conformal Prediction—0
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
Improving Coverage in Combined Prediction Sets with Weighted p-values—0
Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets—0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems—0
Testing for concept shift online—0
Test-time augmentation improves efficiency in conformal prediction—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Individualised Counterfactual Examples Using Conformal Prediction Intervals—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Validity, consonant plausibility measures, and conformal prediction—0
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning—0
JANET: Joint Adaptive predictioN-region Estimation for Time-series—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Joint Registration and Conformal Prediction for Partially Observed Functional Data—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage—0
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction—0
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework—0
Language Models with Conformal Factuality Guarantees—0
Assumption-free fidelity bounds for hardware noise characterization—0
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
Learning Cellular Network Connection Quality with Conformal—0
Theoretical Foundations of Conformal Prediction—0
The Penalized Inverse Probability Measure for Conformal Classification—0
Are foundation models for computer vision good conformal predictors?—0
Learning Pareto-Efficient Decisions with Confidence—0
Learning Robust Decision Policies from Observational Data—0
Learning Temporal Logic Predicates from Data with Statistical Guarantees—0
Valid Error Bars for Neural Weather Models using Conformal Prediction—0
The Relationship between No-Regret Learning and Online Conformal Prediction—0
Valid Selection among Conformal Sets—0
Three Applications of Conformal Prediction for Rating Breast Density in Mammography—0
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Approximating Score-based Explanation Techniques Using Conformal Regression—0
Making learning more transparent using conformalized performance prediction—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering—0
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces—0
MD-split+: Practical Local Conformal Inference in High Dimensions—0
Meta-Analysis with Untrusted Data—0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction—0
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