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2402.04211
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Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification
6 February 2024
Mert Ketenci
Inigo Urteaga
Victor Alfonso Rodriguez
Noémie Elhadad
A. Perotte
FAtt
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Papers citing
"Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification"
12 / 12 papers shown
Title
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
Julius Adebayo
M. Muelly
H. Abelson
Been Kim
44
86
0
09 Dec 2022
On Embeddings for Numerical Features in Tabular Deep Learning
Yura Gorishniy
Ivan Rubachev
Artem Babenko
LMTD
79
171
0
10 Mar 2022
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
75
210
0
11 Feb 2022
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression
Ian Covert
Su-In Lee
FAtt
54
170
0
02 Dec 2020
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
83
248
0
21 Nov 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack
Sophie Hilgard
Sameer Singh
Himabindu Lakkaraju
FAtt
54
162
0
11 Aug 2020
On the Robustness of Interpretability Methods
David Alvarez-Melis
Tommi Jaakkola
70
526
0
21 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
122
940
0
20 Jun 2018
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
967
21,815
0
22 May 2017
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
189
1,351
0
19 May 2017
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
242
4,778
0
04 Jan 2016
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OOD
SyDa
UQCV
158
867
0
12 Feb 2015
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