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How to Evaluate Uncertainty Estimates in Machine Learning for
  Regression?
v1v2 (latest)

How to Evaluate Uncertainty Estimates in Machine Learning for Regression?

Neural Networks (NN), 2021
7 June 2021
Laurens Sluijterman
Eric Cator
Tom Heskes
    UQCV
ArXiv (abs)PDFHTML

Papers citing "How to Evaluate Uncertainty Estimates in Machine Learning for Regression?"

11 / 11 papers shown
Filtering instances and rejecting predictions to obtain reliable models in healthcare
Filtering instances and rejecting predictions to obtain reliable models in healthcare
Maria Gabriela Valeriano
David Kohan Marzagão
Alfredo Montelongo
Carlos Roberto Veiga Kiffer
Natan Katz
A. C. Lorena
160
0
0
28 Oct 2025
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
Jelke Wibbeke
Nico Schönfisch
Sebastian Rohjans
Andreas Rauh
184
0
0
25 Aug 2025
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
Nicola Casali
Alessandro Brusaferri
Giuseppe Baselli
Stefano Fumagalli
Edoardo Micotti
Gianluigi Forloni
Riaz Hussein
Giovanna Rizzo
Alfonso Mastropietro
302
0
0
06 Aug 2025
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
Sebastián Jiménez
Mira Jürgens
Willem Waegeman
UDPER
853
2
0
29 May 2025
Probabilistic Reasoning with LLMs for k-anonymity Estimation
Probabilistic Reasoning with LLMs for k-anonymity Estimation
Jonathan Zheng
Sauvik Das
Alan Ritter
Wei Xu
641
0
0
12 Mar 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Mathieu Cocheteux
Julien Moreau
Franck Davoine
440
12
0
12 Jan 2025
Deploying scalable traffic prediction models for efficient management in
  real-world large transportation networks during hurricane evacuations
Deploying scalable traffic prediction models for efficient management in real-world large transportation networks during hurricane evacuations
Qinhua Jiang
Brian Yueshuai He
Changju Lee
Jiaqi Ma
210
3
0
17 Jun 2024
Composite Quantile Regression With XGBoost Using the Novel Arctan
  Pinball Loss
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss
Laurens Sluijterman
Frank Kreuwel
Eric Cator
Tom Heskes
MQ
239
9
0
04 Jun 2024
Delay-SDE-net: A deep learning approach for time series modelling with
  memory and uncertainty estimates
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates
M. Eggen
A. Midtfjord
245
3
0
14 Mar 2023
On the role of Model Uncertainties in Bayesian Optimization
On the role of Model Uncertainties in Bayesian OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Jonathan Foldager
Mikkel Jordahn
Lars Kai Hansen
Michael Riis Andersen
413
8
0
14 Jan 2023
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Confident Neural Network Regression with Bootstrapped Deep EnsemblesNeurocomputing (Neurocomputing), 2022
Laurens Sluijterman
Eric Cator
Tom Heskes
BDLUQCVFedML
279
5
0
22 Feb 2022
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