Imagen de Portada

Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Idrissi, Marouane Il, Machado, Agathe Fernandes, Gallic, Ewen, Charpentier, Arthur
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
por: Idrissi, Marouane Il, et al.
Publicado: (2025)

Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport
por: Machado, Agathe Fernandes, et al.
Publicado: (2025)

Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
por: Machado, Agathe Fernandes, et al.
Publicado: (2024)

From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
por: Machado, Agathe Fernandes, et al.
Publicado: (2024)

Sequential Transport for Causal Mediation Analysis
por: Machado, Agathe Fernandes, et al.
Publicado: (2026)

Probabilistic Scores of Classifiers, Calibration is not Enough
por: Machado, Agathe Fernandes, et al.
Publicado: (2024)

Geospatial Disparities: A Case Study on Real Estate Prices in Paris
por: Machado, Agathe Fernandes, et al.
Publicado: (2024)

Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty
por: Charpentier, Arthur, et al.
Publicado: (2026)

Conformal Prediction with Learned Features
por: Kiyani, Shayan, et al.
Publicado: (2024)

Predictive Inference With Fast Feature Conformal Prediction
por: Tang, Zihao, et al.
Publicado: (2024)

Conformal Prediction on Quantifying Uncertainty of Dynamic Systems
por: Liang, Aoming, et al.
Publicado: (2024)

Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
por: Wang, Li Rong, et al.
Publicado: (2025)

Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation
por: Sommer, Johanna, et al.
Publicado: (2025)

Federated Measurement of Demographic Disparities from Quantile Sketches
por: Charpentier, Arthur, et al.
Publicado: (2026)

Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
por: Xie, Hong Xin, et al.
Publicado: (2025)

Explainable Uncertainty Quantification for Wastewater Treatment Energy Prediction via Interval Type-2 Neuro-Fuzzy System
por: Khaled, Qusai, et al.
Publicado: (2026)

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
por: Kiyani, Shayan, et al.
Publicado: (2025)

Adaptive Individual Uncertainty under Out-Of-Distribution Shift with Expert-Routed Conformal Prediction
por: Badkul, Amitesh, et al.
Publicado: (2025)

Introducing Interval Neural Networks for Uncertainty-Aware System Identification
por: Ferah, Mehmet Ali, et al.
Publicado: (2025)

Neurosymbolic Conformal Classification
por: Ledaguenel, Arthur, et al.
Publicado: (2024)

Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests
por: Nolte, Daniel, et al.
Publicado: (2024)

Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
por: Huang, Xiannan, et al.
Publicado: (2025)

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
por: Noorani, Sima, et al.
Publicado: (2025)

Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
por: Koklu, Ata, et al.
Publicado: (2024)

Adaptive Conformal Guidance for Learning under Uncertainty
por: Liu, Rui, et al.
Publicado: (2025)

Safe Urban Traffic Control via Uncertainty-Aware Conformal Prediction and World-Model Reinforcement Learning
por: Chandra, Joydeep, et al.
Publicado: (2026)

Conformal Depression Prediction
por: Li, Yonghong, et al.
Publicado: (2024)

Conf-Gen: Conformal Uncertainty Quantification for Generative Models
por: Loaiza-Ganem, Gabriel, et al.
Publicado: (2026)

Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
por: Niu, Tian, et al.
Publicado: (2024)

KANFormer for Predicting Fill Probabilities via Survival Analysis in Limit Order Books
por: Zhong, Jinfeng, et al.
Publicado: (2025)

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
por: Wang, Kaizheng, et al.
Publicado: (2024)

Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
por: Lützow, Laura, et al.
Publicado: (2025)

Conformal Prediction as Bayesian Quadrature
por: Snell, Jake C., et al.
Publicado: (2025)

Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
por: LU, Echo Diyun, et al.
Publicado: (2025)

Quantifying Deep Learning Model Uncertainty in Conformal Prediction
por: Karimi, Hamed, et al.
Publicado: (2023)

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy
por: Karimi, Hamed, et al.
Publicado: (2026)

CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
por: Yang, Chao, et al.
Publicado: (2025)

Tube Loss: A Novel Approach for Prediction Interval Estimation
por: Anand, Pritam, et al.
Publicado: (2024)

On Evaluation of Unsupervised Feature Selection for Pattern Classification
por: Kim, Gyu-Il, et al.
Publicado: (2026)

EquiPy: Sequential Fairness using Optimal Transport in Python
por: Machado, Agathe Fernandes, et al.
Publicado: (2025)