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Monitoring Model Deterioration with Explainable Uncertainty Estimation
  via Non-parametric Bootstrap

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

27 January 2022
Carlos Mougan
Dan Saattrup Nielsen
ArXivPDFHTML

Papers citing "Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap"

11 / 11 papers shown
Title
datadriftR: An R Package for Concept Drift Detection in Predictive
  Models
datadriftR: An R Package for Concept Drift Detection in Predictive Models
Ugur Dar
Mustafa Cavus
92
0
0
15 Dec 2024
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
56
1
0
12 Dec 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
49
0
0
15 Nov 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life
  Cycle: Industrial Reality and Current State of Research
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research
Thomas Decker
Ralf Gross
Alexander Koebler
Michael Lebacher
Ronald Schnitzer
Stefan H. Weber
36
2
0
11 Oct 2023
Explanation Shift: How Did the Distribution Shift Impact the Model?
Explanation Shift: How Did the Distribution Shift Impact the Model?
Carlos Mougan
Klaus Broelemann
David Masip
Gjergji Kasneci
Thanassis Thiropanis
Steffen Staab
FAtt
22
1
0
14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment
Beyond Demographic Parity: Redefining Equal Treatment
Carlos Mougan
Laura State
Antonio Ferrara
Salvatore Ruggieri
Steffen Staab
FaML
33
1
0
14 Mar 2023
Explanation Shift: Detecting distribution shifts on tabular data via the
  explanation space
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan
Klaus Broelemann
Gjergji Kasneci
T. Tiropanis
Steffen Staab
FAtt
27
7
0
22 Oct 2022
Introducing explainable supervised machine learning into interactive
  feedback loops for statistical production system
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
Carlos Mougan
G. Kanellos
Johannes Micheler
Jose Martinez
Thomas Gottron
19
1
0
07 Feb 2022
Desiderata for Explainable AI in statistical production systems of the
  European Central Bank
Desiderata for Explainable AI in statistical production systems of the European Central Bank
Carlos Navarro
Georgios Kanellos
Thomas Gottron
12
9
0
18 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1