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2404.12215
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Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
18 April 2024
Paul Hofman
Yusuf Sale
Eyke Hüllermeier
UQCV
UD
PER
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Papers citing
"Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules"
10 / 10 papers shown
Title
Epistemic Reject Option Prediction
Vojtech Franc
Jakub Paplhám
32
0
0
06 Nov 2025
Uncertainty Quantification for Regression using Proper Scoring Rules
Alexander Fishkov
Kajetan Schweighofer
Mykyta Ielanskyi
Nikita Kotelevskii
Mohsen Guizani
Maxim Panov
UQCV
190
1
1
30 Sep 2025
Multidimensional Uncertainty Quantification via Optimal Transport
Nikita Kotelevskii
Maiya Goloburda
Vladimir Kondratyev
Alexander Fishkov
Mohsen Guizani
Eric Moulines
Maxim Panov
161
1
0
26 Sep 2025
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi
Juraj Bodik
Jakob Heiss
Bin Yu
UQCV
UD
322
2
0
10 Jul 2025
The Joys of Categorical Conformal Prediction
Michele Caprio
217
1
0
06 Jul 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty
Sebastián Jiménez
Mira Jürgens
Willem Waegeman
UD
PER
540
2
0
29 May 2025
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
K. Ciosek
Nicolò Felicioni
Sina Ghiassian
287
0
0
04 Apr 2025
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
IEEE Robotics and Automation Letters (RA-L), 2024
Johan Hatleskog
Kostas Alexis
3DPC
311
9
0
14 Oct 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Preslav Nakov
Maxim Panov
Artem Shelmanov
HILM
585
58
0
21 Jun 2024
Scalable Bayesian Learning with posteriors
Samuel Duffield
Kaelan Donatella
Johnathan Chiu
Phoebe Klett
Daniel Simpson
BDL
UQCV
468
4
0
31 May 2024
1