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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 426–450 of 704 papers

TitleStatusHype
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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