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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 226–250 of 704 papers

TitleStatusHype
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Partial-Label Learning with Conformal Candidate Cleaning—0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Conformal Prediction Regions are Imprecise Highest Density Regions—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Flow-based Conformal Prediction for Multi-dimensional Time Series—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Robust Conformal Outlier Detection under Contaminated Reference DataCode0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts—0
Calibrated Physics-Informed Uncertainty Quantification—0
Conformal Uncertainty Indicator for Continual Test-Time Adaptation—0
Multivariate Conformal Prediction using Optimal Transport—0
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems—0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Conformal Prediction in Hierarchical Classification—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Optimal Transport-based Conformal Prediction—0
Robust Online Conformal Prediction under Uniform Label Noise—0
Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized ModelsCode0
Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction—0
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