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1908.03932
Cited By
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
Journal of machine learning research (JMLR), 2019
11 August 2019
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
Kun Zhang
CML
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Papers citing
"Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables"
31 / 31 papers shown
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Yuqin Yang
M. Nafea
Negar Kiyavash
Kun Zhang
AmirEmad Ghassami
CML
242
1
0
10 Apr 2026
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
International Conference on Learning Representations (ICLR), 2025
Huiyang Yi
Yanyan He
Duxin Chen
Mingyu Kang
He Wang
Wenwu Yu
OOD
CML
224
2
0
14 Oct 2025
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
Xinshuai Dong
Ignavier Ng
Haoyue Dai
Jiaqi Sun
Xiangchen Song
Peter Spirtes
Kun Zhang
CML
162
1
0
05 Oct 2025
Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables
Nils Sturma
Mathias Drton
CML
176
1
0
24 Jul 2025
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yaroslav Kivva
S. Akbari
Saber Salehkaleybar
Negar Kiyavash
CML
323
2
0
13 Jun 2025
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
D. Tramontano
Yaroslav Kivva
Saber Salehkaleybar
Mathias Drton
Negar Kiyavash
CML
394
3
0
05 Jun 2025
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
Xichen Guo
Zheng Li
Erdun Gao
Yan Zeng
Zhi Geng
Feng Xie
CML
305
1
0
19 Nov 2024
Cross-validating causal discovery via Leave-One-Variable-Out
Daniela Schkoda
P. M. Faller
Patrick Blobaum
Dominik Janzing
OOD
163
2
0
08 Nov 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
International Conference on Learning Representations (ICLR), 2024
Yingyu Lin
Yuxing Huang
Wenqin Liu
Haoran Deng
Ignavier Ng
Kun Zhang
Biwei Huang
Yi-An Ma
Zhen Zhang
451
5
0
08 Oct 2024
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
Daniela Schkoda
Elina Robeva
Mathias Drton
CML
258
6
0
09 Aug 2024
On Counterfactual Interventions in Vector Autoregressive Models
Kurt Butler
Marija Iloska
Petar M. Djurić
101
2
0
27 Jun 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
Knowledge Discovery and Data Mining (KDD), 2024
Pingchuan Ma
Rui Ding
Qiang Fu
Jiaru Zhang
Shuai Wang
Shi Han
Dongmei Zhang
CML
346
4
0
15 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders
D. Tramontano
Yaroslav Kivva
Saber Salehkaleybar
Mathias Drton
Negar Kiyavash
CML
362
8
0
04 Jun 2024
Parameter identification in linear non-Gaussian causal models under general confounding
D. Tramontano
Mathias Drton
Jalal Etesami
CML
391
4
0
31 May 2024
Local Causal Structure Learning in the Presence of Latent Variables
Feng Xie
Zheng Li
Peng Wu
Yan Zeng
Chunchen Liu
Zhi Geng
CML
412
6
0
25 May 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders
Feng Xie
Zijian Li
Shanshan Luo
Wang Miao
Ruichu Cai
Zhi Geng
CML
247
5
0
25 May 2024
Generalization of LiNGAM that allows confounding
Joe Suzuki
Tian-Le Yang
437
2
0
30 Jan 2024
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
287
1
0
28 Dec 2023
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
Xinshuai Dong
Erdun Gao
Ignavier Ng
Xiangchen Song
Yujia Zheng
Songyao Jin
Roberto Legaspi
Peter Spirtes
Kun Zhang
BDL
CML
351
27
0
18 Dec 2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen
Keqing Du
Chenguang Li
Xinyu Yang
389
3
0
02 Nov 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix
Yunfeng Cai
Xu Li
Ming Sun
Ping Li
CML
324
1
0
01 Nov 2023
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
Journal of machine learning research (JMLR), 2023
Feng Xie
Erdun Gao
Zhen Chen
Ruichu Cai
Clark Glymour
Zhi Geng
Kun Zhang
CML
275
16
0
13 Aug 2023
A Cross-Moment Approach for Causal Effect Estimation
Neural Information Processing Systems (NeurIPS), 2023
Yaroslav Kivva
Saber Salehkaleybar
Negar Kiyavash
CML
259
9
0
09 Jun 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
International Conference on Machine Learning (ICML), 2023
Ruichu Cai
Zhiyi Huang
Wei Chen
Zijian Li
Kun Zhang
CML
234
21
0
31 May 2023
Identifiability of causal effects with non-Gaussianity and auxiliary covariates
K. Shuai
Shanshan Luo
Yue Zhang
Feng Xie
Yangbo He
CML
200
0
0
28 Apr 2023
Confounder Balancing for Instrumental Variable Regression with Latent Variable
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Bo Li
Leilei Gan
CML
354
1
0
18 Nov 2022
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
Neural Information Processing Systems (NeurIPS), 2022
Yuqin Yang
AmirEmad Ghassami
M. Nafea
Negar Kiyavash
Kun Zhang
I. Shpitser
CML
226
13
0
08 Nov 2022
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
Neural Information Processing Systems (NeurIPS), 2022
Haoyue Dai
Peter Spirtes
Kun Zhang
CML
233
17
0
20 Oct 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints
Neural Information Processing Systems (NeurIPS), 2022
Erdun Gao
C. Low
Feng Xie
Clark Glymour
Kun Zhang
CML
374
65
0
01 Oct 2022
Causal Discovery in Linear Structural Causal Models with Deterministic Relations
CLEaR (CLEaR), 2021
Yuqin Yang
M. Nafea
AmirEmad Ghassami
Negar Kiyavash
CML
335
4
0
30 Oct 2021
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
Anqi Liu
Hao Liu
Tongxin Li
Saeed Karimi-Bidhendi
Yisong Yue
Anima Anandkumar
CML
237
4
0
17 Jan 2021
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