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Explaining predictive models with mixed features using Shapley values
  and conditional inference trees

Explaining predictive models with mixed features using Shapley values and conditional inference trees

2 July 2020
Annabelle Redelmeier
Martin Jullum
K. Aas
    FAtt
    TDI
ArXivPDFHTML

Papers citing "Explaining predictive models with mixed features using Shapley values and conditional inference trees"

7 / 7 papers shown
Title
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
66
0
0
29 Apr 2025
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
105
0
0
02 Dec 2024
Improving the Weighting Strategy in KernelSHAP
Improving the Weighting Strategy in KernelSHAP
Lars Henry Berge Olsen
Martin Jullum
TDI
FAtt
77
2
0
07 Oct 2024
Using Shapley Values and Variational Autoencoders to Explain Predictive
  Models with Dependent Mixed Features
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDI
FAtt
32
17
0
26 Nov 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Annabelle Redelmeier
Martin Jullum
K. Aas
Anders Løland
BDL
37
11
0
18 Nov 2021
Ensembles of Random SHAPs
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
18
20
0
04 Mar 2021
Shapley values for feature selection: The good, the bad, and the axioms
Shapley values for feature selection: The good, the bad, and the axioms
D. Fryer
Inga Strümke
Hien Nguyen
FAtt
TDI
8
190
0
22 Feb 2021
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