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Incorporating Causal Graphical Prior Knowledge into Predictive Modeling
  via Simple Data Augmentation

Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation

27 February 2021
Takeshi Teshima
Masashi Sugiyama
    CML
ArXivPDFHTML

Papers citing "Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation"

5 / 5 papers shown
Title
Enhancing the Performance of Neural Networks Through Causal Discovery
  and Integration of Domain Knowledge
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
Xiaoge Zhang
Xiao-Lin Wang
Fenglei Fan
Yiu-ming Cheung
Indranil Bose
38
1
0
29 Nov 2023
Causal Deep Learning
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
26
25
0
03 Mar 2023
Navigating causal deep learning
Navigating causal deep learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
43
2
0
01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
49
18
0
30 Nov 2022
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
147
438
0
20 Feb 2013
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