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ParceLiNGAM: A causal ordering method robust against latent confounders

29 March 2013

Papers citing "ParceLiNGAM: A causal ordering method robust against latent confounders"

28 / 28 papers shown

Title
Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling Xudong Sun Alex Markham Pratik Misra Carsten Marr CML 151 0 0 12 Mar 2025
Learning linear acyclic causal model including Gaussian noise using ancestral relationships Ming Cai Penggang Gao Hisayuki Hara CML 61 0 0 31 Aug 2024
Controlling for discrete unmeasured confounding in nonlinear causal models Patrick Burauel Frederick Eberhardt Michel Besserve CML 47 0 0 10 Aug 2024
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding Daniela Schkoda Elina Robeva Mathias Drton CML 64 2 0 09 Aug 2024
Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration Hans Jarett J. Ong Brian Godwin S. Lim Renzo Roel P. Tan Kazushi Ikeda CML 112 0 0 18 Apr 2024
Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables Masatoshi Kobayashi Kohei Miyaguchi Shin Matsushima CML 37 0 0 11 Mar 2024
Generalization of LiNGAM that allows confounding Joe Suzuki Tian-Le Yang 77 1 0 30 Jan 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants Wei Chen Zhiyi Huang Ruichu Cai Zhifeng Hao Kun Zhang CML 48 4 0 19 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 100 13 0 18 Dec 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 84 1 0 01 Nov 2023
Recursive Counterfactual Deconfounding for Object Recognition Qiulei Dong Hong Wang Qiulei Dong BDL CML 68 0 0 25 Sep 2023
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables Feng Xie Erdun Gao Zhen Chen Ruichu Cai Clark Glymour Zhi Geng Kun Zhang CML 46 7 0 13 Aug 2023
TSLiNGAM: DirectLiNGAM under heavy tails Sarah Leyder Jakob Raymaekers Tim Verdonck CML 41 1 0 10 Aug 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai Zhiyi Huang Wei Chen Zijian Li Kun Zhang CML 38 10 0 31 May 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 144 30 0 10 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 104 46 0 06 Feb 2023
Latent Hierarchical Causal Structure Discovery with Rank Constraints Erdun Gao C. Low Feng Xie Clark Glymour Kun Zhang CML 130 44 0 01 Oct 2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes Ruixuan Zhao Xin He Junhui Wang CML 64 5 0 01 Nov 2021
Causal Discovery in Linear Structural Causal Models with Deterministic Relations Yuqin Yang M. Nafea AmirEmad Ghassami Negar Kiyavash CML 30 3 0 30 Oct 2021
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 34 6 0 09 Oct 2021
Causal Order Identification to Address Confounding: Binary Variables J. Suzuki Yusuke Inaoka CML 20 3 0 10 Aug 2021
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders Wei Chen Kun Zhang Ruichu Cai Erdun Gao Joseph Ramsey Zijian Li Clark Glymour CML 42 11 0 26 Mar 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 60 3 0 17 Jan 2021
Learning Linear Non-Gaussian Graphical Models with Multidirected Edges Yiheng Liu Elina Robeva Huanqing Wang CML 34 2 0 11 Oct 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs Feng Xie Ruichu Cai Erdun Gao Clark Glymour Zijian Li Kun Zhang CML AI4CE 52 10 0 10 Oct 2020
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash Kun Zhang CML 40 44 0 11 Aug 2019
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee Ruichu Cai Zhenjie Zhang Zijian Li CML 34 50 0 05 Jul 2017
Learning Instrumental Variables with Non-Gaussianity Assumptions: Theoretical Limitations and Practical Algorithms Ricardo M. A. Silva Shohei Shimizu CML 58 1 0 09 Nov 2015