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Order-independent constraint-based causal structure learning

14 November 2012

Papers citing "Order-independent constraint-based causal structure learning"

37 / 187 papers shown

Title
Learning big Gaussian Bayesian networks: partition, estimation, and fusion J. Gu Qing Zhou GNN 41 19 0 24 Apr 2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity Alexander Marx Jilles Vreeken CML 120 25 0 12 Mar 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 70 17 0 28 Jan 2019
A Survey on Multi-output Learning Donna Xu Yaxin Shi Ivor W. Tsang Yew-Soon Ong Chen Gong Xiaobo Shen 49 5 0 02 Jan 2019
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU Behrooz Zarebavani Foad Jafarinejad Matin Hashemi Saber Salehkaleybar 113 32 0 20 Dec 2018
Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models Abhishek Chakrabortty Preetam Nandy Hongzhe Li CML 25 19 0 27 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 88 168 0 25 Sep 2018
Causal Discovery by Telling Apart Parents and Children Alexander Marx Jilles Vreeken CML 15 1 0 20 Aug 2018
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks Irene Córdoba-Sánchez E.C. Garrido-Merchán Daniel Hernández-Lobato C. Bielza P. Larrañaga TPM 37 11 0 28 Jun 2018
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M. Scutari C. E. Graafland J. Gutiérrez CML 131 53 0 30 May 2018
FASK with Interventional Knowledge Recovers Edges from the Sachs Model Joseph Ramsey Bryan Andrews 70 22 0 06 May 2018
Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting V. Asvatourian C. Coutzac N. Chaput C. Robert S. Michiels E. Lanoy CML 16 4 0 28 Mar 2018
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 65 69 0 21 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 Generative Neural Networks Olivier Goudet Diviyan Kalainathan Philippe Caillou Isabelle M Guyon David Lopez-Paz Michèle Sebag BDL CML DRL 76 59 0 24 Nov 2017
Learning Functional Causal Models with Generative Neural Networks Hugo Jair Escalante Sergio Escalera Xavier Baro Isabelle M Guyon Umut Güçlü Marcel van Gerven CML BDL 105 108 0 15 Sep 2017
A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables Joseph Ramsey Bryan Andrews CML 51 15 0 13 Sep 2017
High-Dimensional Dependency Structure Learning for Physical Processes Jamal Golmohammadi I. Ebert‐Uphoff Sijie He Yi Deng A. Banerjee AI4CE 23 0 0 12 Sep 2017
Mixed Graphical Models for Causal Analysis of Multi-modal Variables A. Sedgewick Joseph Ramsey Peter Spirtes Clark Glymour P. Benos CML 27 10 0 09 Apr 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 74 174 0 22 Nov 2016
Achieving non-discrimination in data release Lu Zhang Yongkai Wu Xintao Wu FaML 134 69 0 22 Nov 2016
A Review on Algorithms for Constraint-based Causal Discovery Kui Yu Jiuyong Li Lin Liu AI4TS CML 54 22 0 12 Nov 2016
Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-value Joseph Ramsey 54 14 0 03 Oct 2016
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge Vikas Chawla H. S. Naik Adedotun Akintayo Dermot Hayes P. Schnable Baskar Ganapathysubramanian Soumik Sarkar 23 1 0 17 Aug 2016
algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD Joseph Ramsey Daniel Malinsky Kevin V. Bui CML 56 17 0 27 Jul 2016
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values Eric V. Strobl Peter Spirtes Shyam Visweswaran 58 20 0 14 Jul 2016
A review of Gaussian Markov models for conditional independence Irene Córdoba-Sánchez C. Bielza P. Larrañaga VLM 64 0 0 23 Jun 2016
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 93 149 0 22 Jun 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
Causality on Longitudinal Data: Stable Specification Search in Constrained Structural Equation Modeling R. Rahmadi P. Groot Marieke HC van Rijn Jan AJG van den Brand M. Heins H. Knoop Tom Heskes CML 67 15 0 22 May 2016
Using Causal Discovery to Track Information Flow in Spatio-Temporal Data - A Testbed and Experimental Results Using Advection-Diffusion Simulations I. Ebert‐Uphoff Yi Deng CML 33 2 0 27 Dec 2015
ParallelPC: an R package for efficient constraint based causal exploration T. Le Tao Hoang Jiuyong Li Lin Liu Shu Hu 20 9 0 11 Oct 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 108 130 0 09 Jul 2015
A Complete Generalized Adjustment Criterion Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL CML 79 73 0 06 Jul 2015
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling R. Rahmadi P. Groot M. Heins H. Knoop Tom Heskes CML 98 18 0 18 Jun 2015
Partition MCMC for inference on acyclic digraphs Jack Kuipers G. Moffa 127 92 0 20 Apr 2015
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M. Scutari CML 141 169 0 30 Jun 2014