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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 276–300 of 704 papers

TitleStatusHype
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecastingCode0
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach—0
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms—0
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction—0
Spatial Conformal Inference through Localized Quantile Regression—0
Predictive Inference With Fast Feature Conformal PredictionCode0
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders—0
Distribution-Free Calibration of Statistical Confidence SetsCode0
Conformal Prediction for Distribution-free Optimal Control of Linear Stochastic Systems—0
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry—0
Spatio-Temporal Conformal Prediction for Power Outage Data—0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Robust Bayesian Optimization via Localized Online Conformal PredictionCode0
Human-Calibrated Automated Testing and Validation of Generative Language Models—0
Conformal Prediction for Hierarchical Data—0
Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption—0
Theoretical Foundations of Conformal Prediction—0
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control—0
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging—0
Conformalized Credal Regions for Classification with Ambiguous Ground Truth—0
A Collaborative Content Moderation Framework for Toxicity Detection based on Conformalized Estimates of Annotation DisagreementCode0
Multi-model Ensemble Conformal Prediction in Dynamic EnvironmentsCode0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
Powerful batch conformal prediction for classification—0
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