Discovering Cyclic Causal Models by Independent Components Analysis

13 June 2012

Papers citing "Discovering Cyclic Causal Models by Independent Components Analysis"

50 / 52 papers shown

Title
Cascading Failure Prediction via Causal Inference Shiuli Subhra Ghosh Anmol Dwivedi A. Tajer K. Yeo Wesley M. Gifford 46 1 0 24 Oct 2024
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data Muralikrishnna G. Sethuraman Razieh Nabi Faramarz Fekri CML OOD 76 0 0 24 Oct 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 107 1 0 02 Jul 2024
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data Shunxing Fan Biwei Huang Kun Zhang 55 1 0 04 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 93 3 0 04 Jun 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models Haoyue Dai Ignavier Ng Yujia Zheng Zhengqing Gao Kun Zhang 57 3 0 21 Mar 2024
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders B. Lorbeer Mustafa Mohsen 48 1 0 23 Jan 2024
Goodness-of-Fit Tests for Linear Non-Gaussian Structural Equation Models Daniela Schkoda Mathias Drton CML 56 2 0 08 Nov 2023
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data Saptarshi Roy Raymond K. W. Wong Yang Ni CML 42 2 0 31 Oct 2023
Causal Modeling with Stationary Diffusions Lars Lorch Andreas Krause Bernhard Schölkopf DiffM 139 13 0 26 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 122 10 0 24 Oct 2023
Establishing Markov Equivalence in Cyclic Directed Graphs Tom Claassen Joris M. Mooij 50 2 0 01 Sep 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 103 25 0 08 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 113 46 0 06 Feb 2023
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models Ehsan Mokhtarian Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash 97 3 0 20 May 2022
CCSL: A Causal Structure Learning Method from Multiple Unknown Environments Wei Chen Yunjin Wu Ruichu Cai Yueguo Chen Zijian Li CML 26 4 0 18 Nov 2021
Dynamic Causal Bayesian Optimization Virginia Aglietti Neil Dhir Javier I. González Theodoros Damoulas 71 22 0 26 Oct 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 118 25 0 23 Jun 2021
Causality and independence in perfectly adapted dynamical systems Tineke Blom Joris M. Mooij CML 105 8 0 28 Jan 2021
Robustness of Model Predictions under Extension Tineke Blom Joris M. Mooij 61 2 0 08 Dec 2020
Causal Feature Selection via Orthogonal Search Ashkan Soleymani Anant Raj Stefan Bauer Bernhard Schölkopf M. Besserve CML 91 17 0 06 Jul 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles Joris M. Mooij Tom Claassen 93 42 0 01 May 2020
Multi-trek separation in Linear Structural Equation Models Elina Robeva Jean-Baptiste Seby CML 57 8 0 28 Jan 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AmirEmad Ghassami Alan Yang Negar Kiyavash Kun Zhang 81 2 0 28 Oct 2019
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery Chenwei Ding Biwei Huang Kun Zhang Dacheng Tao CML 46 6 0 04 Sep 2019
Estimation Rates for Sparse Linear Cyclic Causal Models Jan-Christian Hütter Philippe Rigollet CML 57 3 0 08 Jun 2019
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data Erdun Gao Kun Zhang Ruben Sanchez-Romero Joseph Ramsey Madelyn Glymour Clark Glymour CML 103 15 0 27 Jan 2019
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems Chao Liu Kin Gwn Lore Zhanhong Jiang Soumik Sarkar 54 23 0 31 May 2018
Beyond Structural Causal Models: Causal Constraints Models Tineke Blom Stephan Bongers Joris M. Mooij 99 1 0 16 May 2018
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Alex E. White Matthieu Vignes CML 70 5 0 04 May 2018
Causal Modeling of Dynamical Systems Stephan Bongers Tineke Blom Joris M. Mooij 73 24 0 23 Mar 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 82 96 0 13 Mar 2018
Causal Consistency of Structural Equation Models Paul Kishan Rubenstein S. Weichwald Stephan Bongers Joris M. Mooij Dominik Janzing Moritz Grosse-Wentrup Bernhard Schölkopf CML 93 129 0 04 Jul 2017
Algebraic Problems in Structural Equation Modeling Mathias Drton 72 48 0 18 Dec 2016
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 95 167 0 18 Nov 2016
Computation of maximum likelihood estimates in cyclic structural equation models Mathias Drton C. Fox Y Samuel Wang 121 16 0 11 Oct 2016
From Deterministic ODEs to Dynamic Structural Causal Models Paul Kishan Rubenstein Stephan Bongers Bernhard Schölkopf Joris M. Mooij 96 55 0 29 Aug 2016
From Dependence to Causation David Lopez-Paz OOD CML 179 26 0 12 Jul 2016
Data-driven root-cause analysis for distributed system anomalies Chao Liu Kin Gwn Lore Soumik Sarkar 24 4 0 20 May 2016
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 107 72 0 08 Jun 2015
When causation does not imply correlation: robust violations of the Faithfulness axiom R. Kennaway 113 8 0 12 May 2015
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 126 105 0 09 Aug 2014
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model Shohei Shimizu Aapo Hyvarinen Yoshinobu Kawahara 83 30 0 09 Aug 2014
Bayesian estimation of possible causal direction in the presence of latent confounders using a linear non-Gaussian acyclic structural equation model with individual-specific effects Shohei Shimizu K. Bollen CML 58 1 0 24 Oct 2013
Cyclic Causal Discovery from Continuous Equilibrium Data Joris Mooij Tom Heskes 82 83 0 26 Sep 2013
Learning LiNGAM based on data with more variables than observations Shohei Shimizu CML 59 2 0 21 Aug 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models Mark Schmidt Kevin P. Murphy 173 40 0 09 May 2012
Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery Kun Zhang Bernhard Schölkopf Dominik Janzing 58 14 0 15 Mar 2012