Order-independent constraint-based causal structure learning

14 November 2012

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

50 / 58 papers shown

Title
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data Adèle Ribeiro Dominik Heider CML 26 0 0 10 May 2025
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 82 0 0 02 May 2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets Christine W Bang Vanessa Didelez CML 54 0 0 27 Mar 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 73 15 0 10 Jan 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
Investigating potential causes of Sepsis with Bayesian network structure learning Bruno Petrungaro N. K. Kitson Anthony C. Constantinou CML 57 0 0 13 Jun 2024
Local Causal Structure Learning in the Presence of Latent Variables Feng Xie Zheng Li Peng Wu Yan Zeng Chunchen Liu Zhi Geng CML 31 2 0 25 May 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 31 0 0 22 Feb 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics Md. Abir Hossen Sonam Kharade Jason M. O'Kane B. Schmerl David Garlan Pooyan Jamshidi 24 1 0 08 Feb 2024
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 43 6 0 21 Sep 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Yu Huang Jingchuan Guo W. Donahoo Zhengkang Fan Ying Lu Wei-Han Chen Huilin Tang Lori Bilello E. Shenkman Jiang Bian 26 0 0 05 Sep 2023
Testing Sparsity Assumptions in Bayesian Networks Luke Duttweiler Sally W. Thurston A. Almudevar 18 0 0 12 Jul 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 70 9 0 19 Jun 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai Zhiyi Huang Wei-Neng Chen Z. Hao Kun Zhang CML 32 9 0 31 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 27 38 0 17 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 26 9 0 05 May 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 31 24 0 27 Mar 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 30 3 0 07 Feb 2023
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear Manuele Leonelli Gherardo Varando CML 24 6 0 02 Jan 2023
Fast Parallel Bayesian Network Structure Learning Jiantong Jiang Zeyi Wen Ajmal Saeed Mian 25 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 29 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 29 1 0 12 Nov 2022
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks Maximilian Diehl Karinne Ramirez-Amaro CML 45 21 0 12 Sep 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 26 8 0 11 Aug 2022
The Impact of Variable Ordering on Bayesian Network Structure Learning N. K. Kitson Anthony C. Constantinou CML 24 9 0 17 Jun 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 26 5 0 09 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Mingming Gong OOD FaML 19 19 0 27 May 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 53 33 0 25 May 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 26 60 0 25 May 2022
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques Yiran Dong Chuanhou Gao 19 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 17 19 0 09 Mar 2022
Causal discovery for observational sciences using supervised machine learning A. H. Petersen Joseph Ramsey C. Ekstrøm Peter Spirtes CML 30 14 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 18 27 0 20 Jan 2022
Learning Bayesian Networks in the Presence of Structural Side Information Ehsan Mokhtarian S. Akbari Fatemeh Jamshidi Jalal Etesami Negar Kiyavash 21 16 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 28 4 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 69 5 0 16 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 24 60 0 30 Nov 2021
A Fast Non-parametric Approach for Local Causal Structure Learning Mona Azadkia Armeen Taeb Peter Buhlmann CML 27 3 0 29 Nov 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community M. Glenski Svitlana Volkova CML AI4CE 16 1 0 15 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 24 182 0 23 Sep 2021
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy Kai Zhang Chao Tian Kun Zhang Todd Johnson Xiaoqian Jiang CML 38 4 0 10 Sep 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis Chang Ge Shubhankar Mohapatra Xi He Ihab F. Ilyas SyDa 15 44 0 31 Dec 2020
Towards Scalable Bayesian Learning of Causal DAGs Jussi Viinikka Antti Hyttinen J. Pensar Mikko Koivisto CML 29 34 0 30 Sep 2020
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data Anthony C. Constantinou Yang Liu Kiattikun Chobtham Zhi-gao Guo N. K. Kitson CML 30 61 0 18 May 2020
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 16 17 0 28 Jan 2019
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M. Scutari C. E. Graafland J. Gutiérrez CML 28 53 0 30 May 2018
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 21 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 24 93 0 13 Mar 2018
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 19 172 0 22 Nov 2016