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Discovery and Visualization of Nonstationary Causal Models

Discovery and Visualization of Nonstationary Causal Models

27 September 2015
Kun Zhang
Biwei Huang
Jiji Zhang
Bernhard Schölkopf
Clark Glymour
    CML
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Papers citing "Discovery and Visualization of Nonstationary Causal Models"

10 / 10 papers shown
Title
When Selection Meets Intervention: Additional Complexities in Causal Discovery
Haoyue Dai
Ignavier Ng
Jianle Sun
Zeyu Tang
Gongxu Luo
Xinshuai Dong
Peter Spirtes
Kun Zhang
CML
66
0
0
10 Mar 2025
Federated Causal Discovery from Heterogeneous Data
Federated Causal Discovery from Heterogeneous Data
Loka Li
Ignavier Ng
Gongxu Luo
Biwei Huang
Guan-Hong Chen
Tongliang Liu
Bin Gu
Kun Zhang
FedML
32
5
0
20 Feb 2024
On the Three Demons in Causality in Finance: Time Resolution,
  Nonstationarity, and Latent Factors
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors
Xinshuai Dong
Haoyue Dai
Yewen Fan
Songyao Jin
Sathyamoorthy Rajendran
Kun Zhang
CML
21
1
0
28 Dec 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
45
11
0
29 Jan 2023
A Subsampling-Based Method for Causal Discovery on Discrete Data
A Subsampling-Based Method for Causal Discovery on Discrete Data
Austin V. Goddard
Yu Xiang
CML
8
0
0
31 Aug 2021
Causal Discovery from Heterogeneous/Nonstationary Data with Independent
  Changes
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Biwei Huang
Kun Zhang
Jiji Zhang
Joseph Ramsey
Ruben Sanchez-Romero
Clark Glymour
Bernhard Schölkopf
13
219
0
05 Mar 2019
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise
  Models
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
Shoubo Hu
Zhitang Chen
V. Nia
L. Chan
Yanhui Geng
CML
20
26
0
23 Sep 2018
A Kernel Embedding-based Approach for Nonstationary Causal Model
  Inference
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference
Shoubo Hu
Zhitang Chen
L. Chan
CML
9
4
0
23 Sep 2018
FASK with Interventional Knowledge Recovers Edges from the Sachs Model
FASK with Interventional Knowledge Recovers Edges from the Sachs Model
Joseph Ramsey
Bryan Andrews
13
21
0
06 May 2018
Learning Causal Structures Using Regression Invariance
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Kun Zhang
OOD
CML
21
60
0
26 May 2017
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