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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 476–500 of 704 papers

TitleStatusHype
Robust Uncertainty Quantification Using Conformalised Monte Carlo PredictionCode1
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces—0
Conformance Testing for Stochastic Cyber-Physical Systems—0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction—0
Conformal PID Control for Time Series PredictionCode1
Probabilistically robust conformal prediction—0
Conformal prediction for frequency-severity modelingCode0
Model-free generalized fiducial inference—0
Fairness Under Demographic Scarce RegimeCode0
Conformal Group Recommender System—0
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph LearningCode1
Selective Generation for Controllable Language ModelsCode1
Conformal prediction under ambiguous ground truthCode2
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 Planners—0
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data—0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Conformal Language ModelingCode1
Class-Conditional Conformal Prediction with Many ClassesCode1
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding—0
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