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Federated Causality Learning with Explainable Adaptive Optimization

Federated Causality Learning with Explainable Adaptive Optimization

9 December 2023
Dezhi Yang
Xintong He
Jun Wang
Guoxian Yu
C. Domeniconi
Jinglin Zhang
    FedML
    CML
ArXivPDFHTML

Papers citing "Federated Causality Learning with Explainable Adaptive Optimization"

4 / 4 papers shown
Title
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
Haoyang Li
Jie Xu
Kyra Gan
Fei Wang
Chengxi Zang
FedML
CML
33
0
0
04 May 2025
Masked Gradient-Based Causal Structure Learning
Masked Gradient-Based Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhuangyan Fang
Haoyang Li
Zhitang Chen
Jun Wang
CML
75
117
0
18 Oct 2019
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
101
258
0
29 Sep 2019
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
136
434
0
20 Feb 2013
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