Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?

16 June 2023

Eyke Hüllermeier

Papers citing "Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?"

20 / 20 papers shown

Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 56 0 0 08 May 2025
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression Christopher Bülte Yusuf Sale Timo Löhr Paul Hofman Gitta Kutyniok Eyke Hüllermeier UD 70 0 0 25 Apr 2025
Random-Set Large Language Models Muhammad Mubashar Shireen Kudukkil Manchingal Fabio Cuzzolin 66 0 0 25 Apr 2025
Reliable Classification with Conformal Learning and Interval-Type 2 Fuzzy Sets Javier Fumanal-Idocin Javier Andreu-Perez 30 0 0 21 Apr 2025
Truthful Elicitation of Imprecise Forecasts Anurag Singh Siu Lun Chau Krikamol Muandet 65 0 0 20 Mar 2025
A calibration test for evaluating set-based epistemic uncertainty representations Mira Jürgens Thomas Mortier Eyke Hüllermeier Viktor Bengs Willem Waegeman 39 0 0 22 Feb 2025
Conformal Prediction Regions are Imprecise Highest Density Regions Michele Caprio Yusuf Sale Eyke Hüllermeier 67 0 0 10 Feb 2025
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 95 12 0 28 Jan 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 42 0 0 08 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 70 4 0 07 Nov 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 47 2 0 14 Oct 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification Yusuf Sale Paul Hofman Timo Löhr Lisa Wimmer Thomas Nagler Eyke Hüllermeier PER UD UQCV 53 7 0 04 Jun 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 88 6 0 23 May 2024
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 28 2 0 15 Mar 2024
Generalising realisability in statistical learning theory under epistemic uncertainty Fabio Cuzzolin CML 40 0 0 22 Feb 2024
Conformalized Credal Set Predictors Alireza Javanmardi David Stutz Eyke Hüllermeier 28 11 0 16 Feb 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 40 11 0 01 Feb 2024
Second-Order Uncertainty Quantification: A Distance-Based Approach Yusuf Sale Viktor Bengs Michele Caprio Eyke Hüllermeier PER UQCV UD 27 18 0 02 Dec 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 31 11 0 14 Nov 2023
A Novel Bayes' Theorem for Upper Probabilities Michele Caprio Yusuf Sale Eyke Hüllermeier Insup Lee 28 10 0 13 Jul 2023