Second-Order Uncertainty Quantification: Variance-Based Measures

Second-Order Uncertainty Quantification: Variance-Based Measures

30 December 2023

Eyke Hüllermeier

Papers citing "Second-Order Uncertainty Quantification: Variance-Based Measures"

9 / 9 papers shown

Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 61 0 0 30 Jan 2025
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 25 0 0 14 Oct 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 28 0 0 06 Sep 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 23 1 0 06 Jun 2024
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules Paul Hofman Yusuf Sale Eyke Hüllermeier UQCV UD PER 33 5 0 18 Apr 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 14 3 0 16 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 17 10 0 14 Feb 2024
Bayesian Optimization with Conformal Prediction Sets Samuel Stanton Wesley J. Maddox A. Wilson 27 24 0 22 Oct 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 26 47 0 06 Oct 2021