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Predictive and Causal Implications of using Shapley Value for Model
  Interpretation

Predictive and Causal Implications of using Shapley Value for Model Interpretation

12 August 2020
Sisi Ma
R. Tourani
    FAtt
    TDI
ArXivPDFHTML

Papers citing "Predictive and Causal Implications of using Shapley Value for Model Interpretation"

5 / 5 papers shown
Title
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
126
0
0
02 Dec 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,864
0
22 May 2017
On Shapley value for measuring importance of dependent inputs
On Shapley value for measuring importance of dependent inputs
Art B. Owen
Clémentine Prieur
FAtt
TDI
46
151
0
06 Oct 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
176
3,690
0
10 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
548
7,985
0
13 Jun 2015
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