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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 351–375 of 704 papers

TitleStatusHype
State-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems—0
Exact and Approximate Conformal Inference for Multi-Output Regression—0
Exchangeability, Conformal Prediction, and Rank Tests—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety—0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems—0
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation—0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair—0
Fair Uncertainty Quantification for Depression Prediction—0
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs—0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction—0
Strategic Conformal Prediction—0
Conformalized Strategy-Proof Auctions—0
Conformal prediction of future insurance claims in the regression problem—0
Flow-based Conformal Prediction for Multi-dimensional Time Series—0
Calibrated Physics-Informed Uncertainty Quantification—0
Formal Verification and Control with Conformal Prediction—0
Bridging conformal prediction and scenario optimization—0
Foundation models for time series forecasting: Application in conformal prediction—0
From Conformal Predictions to Confidence Regions—0
From conformal to probabilistic prediction—0
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