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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 101–125 of 704 papers

TitleStatusHype
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Valid Selection among Conformal Sets—0
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?—0
One Sample is Enough to Make Conformal Prediction Robust—0
CertDW: Towards Certified Dataset Ownership Verification via Conformal PredictionCode0
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs—0
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
Conformal Safety Shielding for Imperfect-Perception Agents—0
SAFE: Multitask Failure Detection for Vision-Language-Action Models—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model ReliabilityCode0
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety—0
Efficient Robust Conformal Prediction via Lipschitz-Bounded NetworksCode0
Conformal coronary calcification volume estimation with conditional coverage via histogram clustering—0
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Conformal Object Detection by Sequential Risk Control—0
Individualised Counterfactual Examples Using Conformal Prediction Intervals—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Test-time augmentation improves efficiency in conformal prediction—0
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays—0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints—0
Scalable and adaptive prediction bands with kernel sum-of-squares—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
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