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Order-independent constraint-based causal structure learning

14 November 2012

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

50 / 187 papers shown

Title
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 49 0 0 01 Jul 2023
Tuning structure learning algorithms with out-of-sample and resampling strategies Kiattikun Chobtham Anthony C. Constantinou CML 68 2 0 24 Jun 2023
$$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery$ $\texttt{causalAssembly}$ : Generating Realistic Production Data for Benchmarking Causal Discovery Konstantin Göbler Tobias Windisch Mathias Drton T. Pychynski Steffen Sonntag Martin Roth CML 183 13 0 19 Jun 2023
Bootstrap aggregation and confidence measures to improve time series causal discovery Kevin Debeire Jakob Runge Andreas Gerhardus Berlin CML AI4TS 61 7 0 15 Jun 2023
DRCFS: Doubly Robust Causal Feature Selection Francesco Quinzan Ashkan Soleymani Patrik Jaillet C. Rojas Stefan Bauer 104 13 0 12 Jun 2023
Explaining SAT Solving Using Causal Reasoning Jiong Yang Arijit Shaw Teodora Baluta Mate Soos Kuldeep S. Meel LRM 44 1 0 09 Jun 2023
Causal discovery for time series with constraint-based model and PMIME measure A. Arsac Aurore Lomet Jean-Philippe Poli CML AI4TS 35 1 0 31 May 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai Zhiyi Huang Wei Chen Zijian Li Kun Zhang CML 40 10 0 31 May 2023
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? Aniket Pramanick Yufang Hou Saif M. Mohammad Iryna Gurevych 67 7 0 22 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
Axiomatization of Interventional Probability Distributions Kayvan Sadeghi Terry Soo 60 4 0 08 May 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 76 9 0 05 May 2023
pgmpy: A Python Toolkit for Bayesian Networks Ankur Ankan J. Textor GP 71 17 0 17 Apr 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 126 31 0 27 Mar 2023
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients M. Ribeiro-Dantas Honghao Li Vincent Cabeli Louise Dupuis Franck Simon Liza Hettal A. Hamy Hervé Isambert CML 19 10 0 11 Mar 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 64 3 0 07 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 82 13 0 01 Feb 2023
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots Md. Abir Hossen Sonam Kharade B. Schmerl Javier Cámara Jason M. O'Kane E. Czaplinski K. Dzurilla David Garlan Pooyan Jamshidi 85 10 0 18 Jan 2023
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear Manuele Leonelli Gherardo Varando CML 73 6 0 02 Jan 2023
Fast Parallel Bayesian Network Structure Learning Jiantong Jiang Zeyi Wen Ajmal Mian 56 6 0 08 Dec 2022
Towards Privacy-Aware Causal Structure Learning in Federated Setting Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 68 9 0 13 Nov 2022
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests Erica Cai A. Mcgregor David D. Jensen CML 62 1 0 12 Nov 2022
From Causal Pairs to Causal Graphs Rezaur Rashid Jawad Chowdhury G. Terejanu CML 23 2 0 08 Nov 2022
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 56 2 0 27 Oct 2022
Estimating large causal polytrees from small samples S. Chatterjee M. Vidyasagar CML 21 2 0 15 Sep 2022
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks Maximilian Diehl Karinne Ramirez-Amaro CML 112 24 0 12 Sep 2022
Approach of variable clustering and compression for learning large Bayesian networks A. Bubnova TPM 12 0 0 29 Aug 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 81 8 0 11 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 82 41 0 10 Aug 2022
The Impact of Variable Ordering on Bayesian Network Structure Learning N. K. Kitson Anthony C. Constantinou CML 86 9 0 17 Jun 2022
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data Zijun Cui Naiyu Yin Yuru Wang Qiang Ji 34 0 0 16 Jun 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound Kiattikun Chobtham Anthony C. Constantinou CML BDL 67 2 0 11 Jun 2022
VAC2: Visual Analysis of Combined Causality in Event Sequences Sujia Zhu Yue Shen Zihao Zhu Wang Xia Baofeng Chang Ronghua Liang Guodao Sun CML 103 3 0 11 Jun 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 77 5 0 09 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 65 19 0 27 May 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 149 35 0 25 May 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 116 65 0 25 May 2022
Inferring extended summary causal graphs from observational time series Charles K. Assaad Emilie Devijver Éric Gaussier CML AI4TS 16 0 0 19 May 2022
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis Chainarong Amornbunchornvej Navaporn Surasvadi Anon Plangprasopchok S. Thajchayapong 62 4 0 12 May 2022
Causal discovery under a confounder blanket David S. Watson Ricardo M. A. Silva CML 46 3 0 11 May 2022
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques Yiran Dong Chuanhou Gao 29 0 0 20 Apr 2022
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang Daphna Keidar Andreas Opedal Zhijing Jin Mrinmaya Sachan 64 21 0 09 Mar 2022
Causal discovery for observational sciences using supervised machine learning A. H. Petersen Joseph Ramsey C. Ekstrøm Peter Spirtes CML 68 15 0 25 Feb 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 75 31 0 20 Jan 2022
Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian S. Akbari Fatemeh Jamshidi Jalal Etesami Negar Kiyavash 63 16 0 20 Dec 2021
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions Kiattikun Chobtham Anthony C. Constantinou N. K. Kitson BDL 38 3 0 20 Dec 2021
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning Kui Yu Zhaolong Ling Lin Liu Hao Wang Jiuyong Li 91 6 0 20 Dec 2021
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 137 5 0 16 Dec 2021
Effective and efficient structure learning with pruning and model averaging strategies Anthony C. Constantinou Yang Liu N. K. Kitson Kiattikun Chobtham Zhi-gao Guo 77 17 0 01 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 127 61 0 30 Nov 2021