On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
Fuente:
arXiv
Saved in:
| Main Authors: | Fellaji, Mohammed, Pennerath, Frédéric, Conan-Guez, Brieuc, Couceiro, Miguel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
by: Fellaji, Mohammed, et al.
Published: (2024)
by: Fellaji, Mohammed, et al.
Published: (2024)
JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
by: Heiss, Jakob, et al.
Published: (2026)
by: Heiss, Jakob, et al.
Published: (2026)
Rethinking Aleatoric and Epistemic Uncertainty
by: Smith, Freddie Bickford, et al.
Published: (2024)
by: Smith, Freddie Bickford, et al.
Published: (2024)
Epistemic Wrapping for Uncertainty Quantification
by: Sultana, Maryam, et al.
Published: (2025)
by: Sultana, Maryam, et al.
Published: (2025)
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
by: Stone, Rebecca S, et al.
Published: (2022)
by: Stone, Rebecca S, et al.
Published: (2022)
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties
by: Yi, Jiaxiang, et al.
Published: (2025)
by: Yi, Jiaxiang, et al.
Published: (2025)
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
by: Azizi, Ilia, et al.
Published: (2025)
by: Azizi, Ilia, et al.
Published: (2025)
Label-wise Aleatoric and Epistemic Uncertainty Quantification
by: Sale, Yusuf, et al.
Published: (2024)
by: Sale, Yusuf, et al.
Published: (2024)
Credal Two-Sample Tests of Epistemic Uncertainty
by: Chau, Siu Lun, et al.
Published: (2024)
by: Chau, Siu Lun, et al.
Published: (2024)
Optimal Conformal Prediction under Epistemic Uncertainty
by: Javanmardi, Alireza, et al.
Published: (2025)
by: Javanmardi, Alireza, et al.
Published: (2025)
Quantifying Epistemic Predictive Uncertainty in Conformal Prediction
by: Chau, Siu Lun, et al.
Published: (2026)
by: Chau, Siu Lun, et al.
Published: (2026)
Solving morphological analogies: from retrieval to generation
by: Marquer, Esteban, et al.
Published: (2023)
by: Marquer, Esteban, et al.
Published: (2023)
Quantifying Epistemic Uncertainty in Diffusion Models
by: Gupta, Aditi, et al.
Published: (2026)
by: Gupta, Aditi, et al.
Published: (2026)
Epistemic Uncertainty for Test-Time Discovery
by: Riaz, Kainat, et al.
Published: (2026)
by: Riaz, Kainat, et al.
Published: (2026)
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
by: Hofman, Paul, et al.
Published: (2024)
by: Hofman, Paul, et al.
Published: (2024)
Energy-based Epistemic Uncertainty for Graph Neural Networks
by: Fuchsgruber, Dominik, et al.
Published: (2024)
by: Fuchsgruber, Dominik, et al.
Published: (2024)
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
by: Calvo-Ordoñez, Sergio, et al.
Published: (2024)
by: Calvo-Ordoñez, Sergio, et al.
Published: (2024)
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
by: Ma, Jianfei, et al.
Published: (2025)
by: Ma, Jianfei, et al.
Published: (2025)
Epistemic Uncertainty in Conformal Scores: A Unified Approach
by: Cabezas, Luben M. C., et al.
Published: (2025)
by: Cabezas, Luben M. C., et al.
Published: (2025)
On the Epistemic Uncertainty of Overparametrized Neural Networks
by: Rügamer, David
Published: (2026)
by: Rügamer, David
Published: (2026)
Measuring Uncertainty Calibration
by: Ciosek, Kamil, et al.
Published: (2025)
by: Ciosek, Kamil, et al.
Published: (2025)
Unified Uncertainty Calibration
by: Chaudhuri, Kamalika, et al.
Published: (2023)
by: Chaudhuri, Kamalika, et al.
Published: (2023)
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
by: Löfström, Helena, et al.
Published: (2024)
by: Löfström, Helena, et al.
Published: (2024)
Decomposing Epistemic Uncertainty for Causal Decision Making
by: Rahman, Md Musfiqur, et al.
Published: (2026)
by: Rahman, Md Musfiqur, et al.
Published: (2026)
Soft-Label Training Preserves Epistemic Uncertainty
by: Singh, Agamdeep, et al.
Published: (2025)
by: Singh, Agamdeep, et al.
Published: (2025)
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
by: Kirsch, Andreas
Published: (2024)
by: Kirsch, Andreas
Published: (2024)
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
by: Trivedi, Puja, et al.
Published: (2024)
by: Trivedi, Puja, et al.
Published: (2024)
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation
by: Gillis, H. Martin, et al.
Published: (2026)
by: Gillis, H. Martin, et al.
Published: (2026)
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
by: Roderick, Melrose, et al.
Published: (2023)
by: Roderick, Melrose, et al.
Published: (2023)
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
by: Bakman, Yavuz, et al.
Published: (2025)
by: Bakman, Yavuz, et al.
Published: (2025)
Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Space Models
by: Berger, Julia, et al.
Published: (2026)
by: Berger, Julia, et al.
Published: (2026)
Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction
by: Haas, Stefan, et al.
Published: (2025)
by: Haas, Stefan, et al.
Published: (2025)
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
by: Hoarau, Arthur, et al.
Published: (2025)
by: Hoarau, Arthur, et al.
Published: (2025)
Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty
by: Thomas, Jake, et al.
Published: (2024)
by: Thomas, Jake, et al.
Published: (2024)
On Context-Content Uncertainty Principle
by: Li, Xin
Published: (2025)
by: Li, Xin
Published: (2025)
Loss-Controlling Calibration for Predictive Models
by: Wang, Di, et al.
Published: (2023)
by: Wang, Di, et al.
Published: (2023)
Theoretical Barriers in Bellman-Based Reinforcement Learning
by: Pinon, Brieuc, et al.
Published: (2025)
by: Pinon, Brieuc, et al.
Published: (2025)
EntmaxKV: Support-Aware Decoding for Entmax Attention
by: Duarte, Gonçalo, et al.
Published: (2026)
by: Duarte, Gonçalo, et al.
Published: (2026)
A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning
by: Qchohi, Abdessamed, et al.
Published: (2026)
by: Qchohi, Abdessamed, et al.
Published: (2026)
Similar Items
-
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
by: Fellaji, Mohammed, et al.
Published: (2024) -
JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
by: Heiss, Jakob, et al.
Published: (2026) -
Rethinking Aleatoric and Epistemic Uncertainty
by: Smith, Freddie Bickford, et al.
Published: (2024) -
Epistemic Wrapping for Uncertainty Quantification
by: Sultana, Maryam, et al.
Published: (2025) -
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation
by: Stone, Rebecca S, et al.
Published: (2022)