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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

Showing 651700 of 704 papers

TitleStatusHype
Label Noise Robustness of Conformal Prediction0
SAFE: Multitask Failure Detection for Vision-Language-Action Models0
Conformal Prediction on Quantifying Uncertainty of Dynamic Systems0
Conformal Prediction Regions are Imprecise Highest Density Regions0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation0
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers0
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction0
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction0
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores0
Weighted Aggregation of Conformity Scores for Classification0
Conformal Predictions for Longitudinal Data0
Conformal Predictions under Markovian Data0
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets0
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach0
Sample-Efficient Safety Assurances using Conformal Prediction0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees0
Conformal Prediction with Learned Features0
Closing the Loop on Runtime Monitors with Fallback-Safe MPC0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models0
Conformal Prediction with Temporal Quantile Adjustments0
Conformal Prediction with Upper and Lower Bound Models0
Conformal Predictive Portfolio Selection0
Conformal Predictive Programming for Chance Constrained Optimization0
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators0
Conformal Predictors for Compound Activity Prediction0
Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma0
Cautious Deep Learning0
Scalable and adaptive prediction bands with kernel sum-of-squares0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization0
Conformal Robust Beamforming via Generative Channel Models0
SConU: Selective Conformal Uncertainty in Large Language Models0
Conformal Rule-Based Multi-label Classification0
Conformal Safety Shielding for Imperfect-Perception Agents0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework0
Conformal Temporal Logic Planning using Large Language Models0
Conformal testing in a binary model situation0
Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds0
Causal Responder Detection0
Conformal Uncertainty Indicator for Continual Test-Time Adaptation0
Conformal Uncertainty Sets for Robust Optimization0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction0
Conformance Testing for Stochastic Cyber-Physical Systems0
Selecting informative conformal prediction sets with false coverage rate control0
CONSeg: Voxelwise Glioma Conformal Segmentation0
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