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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 501550 of 704 papers

TitleStatusHype
Max-Rank: Efficient Multiple Testing for Conformal Prediction0
Robust Conformal Prediction for STL Runtime Verification under Distribution ShiftCode0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
Early-Exit Neural Networks with Nested Prediction Sets0
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts0
Conformalized Deep Splines for Optimal and Efficient Prediction SetsCode0
Early detection of inflammatory arthritis to improve referrals using multimodal machine learning from blood testing, semi-structured and unstructured patient records0
High-Dimensional Prediction for Sequential Decision Making0
CBD: A Certified Backdoor Detector Based on Local Dominant ProbabilityCode0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression0
Conformal Drug Property Prediction with Density Estimation under Covariate Shift0
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction0
Conformal Contextual Robust Optimization0
Estimating Uncertainty in Multimodal Foundation Models using Public Internet DataCode0
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions0
Distribution-free risk assessment of regression-based machine learning algorithms0
Conformal Predictions for Longitudinal Data0
Confidence Calibration for Systems with Cascaded Predictive Modules0
Conformalized Multimodal Uncertainty Regression and Reasoning0
Conformal Temporal Logic Planning using Large Language Models0
Data-driven Reachability using Christoffel Functions and Conformal Prediction0
Closing the Loop on Runtime Monitors with Fallback-Safe MPC0
Conditional validity of heteroskedastic conformal regressionCode0
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data miningCode0
Adaptive conformal classification with noisy labelsCode0
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification0
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence0
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal PredictionCode0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification0
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects0
Approximating Score-based Explanation Techniques Using Conformal Regression0
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled AutonomyCode0
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces0
Conformance Testing for Stochastic Cyber-Physical Systems0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction0
Probabilistically robust conformal prediction0
Conformal prediction for frequency-severity modelingCode0
Fairness Under Demographic Scarce RegimeCode0
Model-free generalized fiducial inference0
Conformal Group Recommender System0
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning ApproachCode0
Conformalization of Sparse Generalized Linear ModelsCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners0
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation0
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding0
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