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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 401–450 of 704 papers

TitleStatusHype
Valid Conformal Prediction for Dynamic GNNsCode0
Conformal Depression PredictionCode0
Verifiably Robust Conformal PredictionCode0
Conformal Recursive Feature EliminationCode0
From Conformal Predictions to Confidence Regions—0
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal PredictionCode0
Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators—0
Towards Human-AI Complementarity with Prediction SetsCode0
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
Conformalized Strategy-Proof Auctions—0
Conditional Shift-Robust Conformal Prediction for Graph Neural Network—0
Conformal Counterfactual Inference under Hidden Confounding—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
Conformal Online Auction DesignCode0
Informativeness of Weighted Conformal PredictionCode0
Efficient Online Set-valued Classification with Bandit Feedback—0
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction—0
A Conformal Prediction Score that is Robust to Label NoiseCode0
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning—0
Conformal Prediction for Natural Language Processing: A Survey—0
An Information Theoretic Perspective on Conformal Prediction—0
Conformal Risk Control for Ordinal ClassificationCode0
Provably Robust Conformal Prediction with Improved EfficiencyCode0
Conformal Prediction with Learned Features—0
Distribution-free Conformal Prediction for Ordinal Classification—0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms—0
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality DataCode0
Mitigating LLM Hallucinations via Conformal Abstention—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Enhancing Conformal Prediction Using E-Test Statistics—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model—0
Conformal online model aggregationCode0
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk ClassificationCode0
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