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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 251–300 of 704 papers

TitleStatusHype
Distribution-free Conformal Prediction for Ordinal Classification—0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Conformalized Link Prediction on Graph Neural Networks—0
A Conformal Approach to Feature-based Newsvendor under Model Misspecification—0
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders—0
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs—0
Development and Evaluation of Conformal Prediction Methods for QSAR—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning—0
Android Malware Detection with Unbiased Confidence Guarantees—0
End-to-end Conditional Robust Optimization—0
Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Efficient Online Set-valued Classification with Bandit Feedback—0
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data—0
Calibrated Physics-Informed Uncertainty Quantification—0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification—0
Enhanced Route Planning with Calibrated Uncertainty Set—0
Conformalized Decision Risk Assessment—0
Criteria of efficiency for conformal prediction—0
Adaptive Conformal Inference by Betting—0
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose—0
CP-Router: An Uncertainty-Aware Router Between LLM and LRM—0
Conformalized Credal Regions for Classification with Ambiguous Ground Truth—0
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Conformal e-prediction—0
Cross-Validation Conformal Risk Control—0
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
Efficient Conformal Prediction under Data Heterogeneity—0
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data—0
Data-driven Reachability using Christoffel Functions and Conformal Prediction—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression—0
Deterministic Object Pose Confidence Region Estimation—0
Copula-based conformal prediction for Multi-Target Regression—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
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