Second-Order Uncertainty Quantification: A Distance-Based Approach

Second-Order Uncertainty Quantification: A Distance-Based Approach

2 December 2023

Eyke Hüllermeier

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Papers citing "Second-Order Uncertainty Quantification: A Distance-Based Approach"

10 / 10 papers shown

Title
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty Sebastián Jiménez Mira Jürgens Willem Waegeman UD PER 78 0 0 29 May 2025
Integral Imprecise Probability Metrics Siu Lun Chau Michele Caprio Krikamol Muandet 150 0 0 22 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 133 3 0 25 Apr 2025
Conformal Prediction Regions are Imprecise Highest Density Regions Michele Caprio Yusuf Sale Eyke Hüllermeier 216 1 0 10 Feb 2025
Confidence Elicitation: A New Attack Vector for Large Language Models Brian Formento Chuan-Sheng Foo See-Kiong Ng AAML 281 0 0 07 Feb 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 223 5 0 07 Nov 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 107 3 0 14 Oct 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 205 2 0 31 May 2024
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 102 2 0 15 Mar 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 79 11 0 30 Dec 2023

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