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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 301–350 of 704 papers

TitleStatusHype
Length Optimization in Conformal PredictionCode0
Conformalized Link Prediction on Graph Neural Networks—0
Causal Responder Detection—0
Conformal time series decomposition with component-wise exchangeabilityCode0
Valid Error Bars for Neural Weather Models using Conformal Prediction—0
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
Evidential Uncertainty Sets in Deep Classifiers Using Conformal PredictionCode0
Learning Temporal Logic Predicates from Data with Statistical Guarantees—0
Large language model validity via enhanced conformal prediction methodsCode1
The Penalized Inverse Probability Measure for Conformal Classification—0
Conformal Load Prediction with Transductive Graph AutoencodersCode1
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Boosted Conformal Prediction IntervalsCode1
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Robust Conformal Prediction Using Privileged InformationCode0
Transformer Conformal Prediction for Time SeriesCode1
Normalizing Flows for Conformal RegressionCode0
Learning Cellular Network Connection Quality with Conformal—0
Certifiably Byzantine-Robust Federated Conformal PredictionCode0
Adapting Conformal Prediction to Distribution Shifts Without Labels—0
Single Trajectory Conformal Prediction—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
Conformal Recursive Feature EliminationCode0
Valid Conformal Prediction for Dynamic GNNsCode0
Conformal Depression PredictionCode0
Verifiably Robust Conformal PredictionCode0
From Conformal Predictions to Confidence Regions—0
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal PredictionCode0
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators—0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Towards Human-AI Complementarity with Prediction SetsCode0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
Training-Conditional Coverage Bounds under Covariate Shift—0
Conformal Robust Control of Linear SystemsCode0
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based AggregationCode0
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction—0
Similarity-Navigated Conformal Prediction for Graph Neural NetworksCode0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Marginal and training-conditional guarantees in one-shot federated conformal predictionCode0
Conformal Counterfactual Inference under Hidden Confounding—0
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
Conformalized Strategy-Proof Auctions—0
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees—0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
Task-Oriented Mulsemedia Communication using Unified Perceiver and Conformal Prediction in 6G Wireless Systems—0
Conformalized Physics-Informed Neural NetworksCode4
Conformal Online Auction DesignCode0
Informativeness of Weighted Conformal PredictionCode0
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)Code1
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