Ensemble-based Uncertainty Quantification: Bayesian versus Credal
Inference

Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference

21 July 2021

Eyke Hüllermeier

Papers citing "Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference"

6 / 6 papers shown

Title
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 87 12 0 28 Jan 2025
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 70 6 0 23 May 2024
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement Christoph Jansen G. Schollmeyer Hannah Blocher Julian Rodemann Thomas Augustin 17 14 0 22 Jun 2023
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 15 3 0 30 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015