A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Qchohi, Abdessamed, Rossi, Simone |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
por: Ma, Jianfei, et al.
Publicado: (2025)
por: Ma, Jianfei, et al.
Publicado: (2025)
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
por: Roderick, Melrose, et al.
Publicado: (2023)
por: Roderick, Melrose, et al.
Publicado: (2023)
Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty
por: Thomas, Jake, et al.
Publicado: (2024)
por: Thomas, Jake, et al.
Publicado: (2024)
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
por: Fellaji, Mohammed, et al.
Publicado: (2024)
por: Fellaji, Mohammed, et al.
Publicado: (2024)
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
por: Jain, Anchit, et al.
Publicado: (2025)
por: Jain, Anchit, et al.
Publicado: (2025)
Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties
por: Yi, Jiaxiang, et al.
Publicado: (2025)
por: Yi, Jiaxiang, et al.
Publicado: (2025)
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
por: Cheraghi, Radin, et al.
Publicado: (2025)
por: Cheraghi, Radin, et al.
Publicado: (2025)
Epistemic Wrapping for Uncertainty Quantification
por: Sultana, Maryam, et al.
Publicado: (2025)
por: Sultana, Maryam, et al.
Publicado: (2025)
Rethinking Aleatoric and Epistemic Uncertainty
por: Smith, Freddie Bickford, et al.
Publicado: (2024)
por: Smith, Freddie Bickford, et al.
Publicado: (2024)
Scaling Laws for Uncertainty in Deep Learning
por: Rosso, Mattia, et al.
Publicado: (2025)
por: Rosso, Mattia, et al.
Publicado: (2025)
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
por: Valdettaro, Filippo, et al.
Publicado: (2024)
por: Valdettaro, Filippo, et al.
Publicado: (2024)
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
por: Falck, Fabian, et al.
Publicado: (2024)
por: Falck, Fabian, et al.
Publicado: (2024)
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
por: Huang, Yingsong, et al.
Publicado: (2026)
por: Huang, Yingsong, et al.
Publicado: (2026)
Epistemic Uncertainty in Conformal Scores: A Unified Approach
por: Cabezas, Luben M. C., et al.
Publicado: (2025)
por: Cabezas, Luben M. C., et al.
Publicado: (2025)
Quantifying Epistemic Predictive Uncertainty in Conformal Prediction
por: Chau, Siu Lun, et al.
Publicado: (2026)
por: Chau, Siu Lun, et al.
Publicado: (2026)
Label-wise Aleatoric and Epistemic Uncertainty Quantification
por: Sale, Yusuf, et al.
Publicado: (2024)
por: Sale, Yusuf, et al.
Publicado: (2024)
Optimal Conformal Prediction under Epistemic Uncertainty
por: Javanmardi, Alireza, et al.
Publicado: (2025)
por: Javanmardi, Alireza, et al.
Publicado: (2025)
Credal Two-Sample Tests of Epistemic Uncertainty
por: Chau, Siu Lun, et al.
Publicado: (2024)
por: Chau, Siu Lun, et al.
Publicado: (2024)
The Initialization Determines Whether In-Context Learning Is Gradient Descent
por: Xie, Shifeng, et al.
Publicado: (2025)
por: Xie, Shifeng, et al.
Publicado: (2025)
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
por: Jürgens, Mira, et al.
Publicado: (2024)
por: Jürgens, Mira, et al.
Publicado: (2024)
Quantifying Epistemic Uncertainty in Diffusion Models
por: Gupta, Aditi, et al.
Publicado: (2026)
por: Gupta, Aditi, et al.
Publicado: (2026)
Epistemic Uncertainty for Test-Time Discovery
por: Riaz, Kainat, et al.
Publicado: (2026)
por: Riaz, Kainat, et al.
Publicado: (2026)
Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks
por: Cho, Hanbin, et al.
Publicado: (2025)
por: Cho, Hanbin, et al.
Publicado: (2025)
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
por: Morales, Giorgio, et al.
Publicado: (2024)
por: Morales, Giorgio, et al.
Publicado: (2024)
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
por: Yuan, Xueqiong, et al.
Publicado: (2025)
por: Yuan, Xueqiong, et al.
Publicado: (2025)
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
por: Hofman, Paul, et al.
Publicado: (2024)
por: Hofman, Paul, et al.
Publicado: (2024)
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
por: Fellaji, Mohammed, et al.
Publicado: (2024)
por: Fellaji, Mohammed, et al.
Publicado: (2024)
Energy-based Epistemic Uncertainty for Graph Neural Networks
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
por: Calvo-Ordoñez, Sergio, et al.
Publicado: (2024)
por: Calvo-Ordoñez, Sergio, et al.
Publicado: (2024)
In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
por: Wakayama, Tomoya, et al.
Publicado: (2025)
por: Wakayama, Tomoya, et al.
Publicado: (2025)
On the Epistemic Uncertainty of Overparametrized Neural Networks
por: Rügamer, David
Publicado: (2026)
por: Rügamer, David
Publicado: (2026)
Decomposing Epistemic Uncertainty for Causal Decision Making
por: Rahman, Md Musfiqur, et al.
Publicado: (2026)
por: Rahman, Md Musfiqur, et al.
Publicado: (2026)
CHEHAB RL: Learning to Optimize Fully Homomorphic Encryption Computations
por: Sefsaf, Bilel, et al.
Publicado: (2026)
por: Sefsaf, Bilel, et al.
Publicado: (2026)
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
por: Löfström, Helena, et al.
Publicado: (2024)
por: Löfström, Helena, et al.
Publicado: (2024)
Soft-Label Training Preserves Epistemic Uncertainty
por: Singh, Agamdeep, et al.
Publicado: (2025)
por: Singh, Agamdeep, et al.
Publicado: (2025)
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation
por: Gillis, H. Martin, et al.
Publicado: (2026)
por: Gillis, H. Martin, et al.
Publicado: (2026)
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
por: Kirsch, Andreas
Publicado: (2024)
por: Kirsch, Andreas
Publicado: (2024)
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
por: Trivedi, Puja, et al.
Publicado: (2024)
por: Trivedi, Puja, et al.
Publicado: (2024)
Variational Uncertainty Decomposition for In-Context Learning
por: Jayasekera, I. Shavindra, et al.
Publicado: (2025)
por: Jayasekera, I. Shavindra, et al.
Publicado: (2025)
Generalization in the Face of Adaptivity: A Bayesian Perspective
por: Shenfeld, Moshe, et al.
Publicado: (2021)
por: Shenfeld, Moshe, et al.
Publicado: (2021)
Ejemplares similares
-
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
por: Ma, Jianfei, et al.
Publicado: (2025) -
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
por: Roderick, Melrose, et al.
Publicado: (2023) -
Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty
por: Thomas, Jake, et al.
Publicado: (2024) -
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
por: Fellaji, Mohammed, et al.
Publicado: (2024) -
Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective
por: Jain, Anchit, et al.
Publicado: (2025)