Cover Image

CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cabezas, Luben M. C., Sloman, Sabina J., Resende, Bruno M., Wu, Fanyi, Caprio, Michele, Izbicki, Rafael
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conformal Calibration of Statistical Confidence Sets
by: Cabezas, Luben M. C., et al.
Published: (2024)

Epistemic Uncertainty in Conformal Scores: A Unified Approach
by: Cabezas, Luben M. C., et al.
Published: (2025)

Conformal Prediction via Transported Beta Laws
by: Ramos, Thiago R., et al.
Published: (2026)

Epistemic Errors of Imperfect Multitask Learners When Distributions Shift
by: Sloman, Sabina J., et al.
Published: (2025)

Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
by: Izbicki, Rafael, et al.
Published: (2026)

Credal and Interval Deep Evidential Classifications
by: Caprio, Michele, et al.
Published: (2025)

Regression Trees for Fast and Adaptive Prediction Intervals
by: Cabezas, Luben M. C., et al.
Published: (2024)

LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
by: Santos, Vagner, et al.
Published: (2026)

Structured Credal Learning
by: Venkatesh, Varun, et al.
Published: (2026)

Conformalized Credal Regions for Classification with Ambiguous Ground Truth
by: Caprio, Michele, et al.
Published: (2024)

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
by: Cabezas, Luben M. C., et al.
Published: (2025)

Integrating Uncertainty Awareness into Conformalized Quantile Regression
by: Rossellini, Raphael, et al.
Published: (2023)

Bayesian Conformal Prediction as a Decision Risk Problem
by: Wu, Fanyi, et al.
Published: (2026)

Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)

Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration
by: Wu, Fanyi, et al.
Published: (2026)

Credal Learning Theory
by: Caprio, Michele, et al.
Published: (2024)

Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee
by: Caprio, Michele
Published: (2024)

Quantifying Epistemic Predictive Uncertainty in Conformal Prediction
by: Chau, Siu Lun, et al.
Published: (2026)

Localized Conformal Multi-Quantile Regression
by: Lu, Yuan
Published: (2024)

Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)

Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
by: Chen, Qianyi, et al.
Published: (2025)

REACT to NHST: Sensible conclusions to meaningful hypotheses
by: Izbicki, Rafael, et al.
Published: (2023)

When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025)

Self-Calibrating Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2024)

A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2025)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
by: Matabuena, Marcos, et al.
Published: (2025)

Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
by: Sebastián, Carlos, et al.
Published: (2024)

CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
by: Azizi, Ilia, et al.
Published: (2025)

Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty
by: Thomas, Jake, et al.
Published: (2024)

JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
by: Heiss, Jakob, et al.
Published: (2026)

Boosted Conformal Prediction Intervals
by: Xie, Ran, et al.
Published: (2024)

Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach
by: Diaz-Rincon, Ricardo, et al.
Published: (2025)

Minimum Volume Conformal Sets for Multivariate Regression
by: Braun, Sacha, et al.
Published: (2025)

Generative Conformal Prediction with Vectorized Non-Conformity Scores
by: Zheng, Minxing, et al.
Published: (2024)

Deep Limit Model-free Prediction in Regression
by: Wu, Kejin, et al.
Published: (2024)

Vector Quantile Regression on Manifolds
by: Pegoraro, Marco, et al.
Published: (2023)

Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)

Conditional Testing based on Localized Conformal p-values
by: Wu, Xiaoyang, et al.
Published: (2024)

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
by: Cabezas, Alberto, et al.
Published: (2024)

Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination
by: Chen, Mengqi, et al.
Published: (2026)