A Survey on Causal Discovery: Theory and Practice

17 May 2023

Papers citing "A Survey on Causal Discovery: Theory and Practice"

26 / 26 papers shown

Title
Graphical Models for Decision-Making: Integrating Causality and Game Theory Maarten C. Vonk Mauricio Gonzalez Soto Anna V. Kononova CML 35 1 0 16 Apr 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 77 0 0 13 Mar 2025
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits Muhammad Qasim Elahi Mahsa Ghasemi Murat Kocaoglu 21 2 0 06 Nov 2024
Unified Causality Analysis Based on the Degrees of Freedom András Telcs M. T. Kurbucz Antal Jakovác CML 21 0 0 25 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 26 0 0 24 Oct 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts Abbavaram Gowtham Reddy Vineeth N Balasubramanian CML 28 1 0 26 Sep 2024
Visual Analysis of Multi-outcome Causal Graphs Mengjie Fan Jinlu Yu Daniel Weiskopf Nan Cao Huai-Yu Wang Liang Zhou CML 31 1 0 31 Jul 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 23 0 0 14 May 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 58 12 0 02 May 2024
Inference of Causal Networks using a Topological Threshold Filipe Barroso Diogo Gomes Gareth J. Baxter 26 0 0 21 Apr 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 72 5 0 14 Mar 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 30 15 0 06 Feb 2024
Causal Layering via Conditional Entropy Itai Feigenbaum Devansh Arpit Huan Wang Shelby Heinecke Juan Carlos Niebles Weiran Yao Caiming Xiong Silvio Savarese CML 11 1 0 19 Jan 2024
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 17 0 0 18 Dec 2023
Towards a Transportable Causal Network Model Based on Observational Healthcare Data Alice Bernasconi Alessio Zanga Peter J.F. Lucas M. Scutari Fabio Stella CML OOD 8 2 0 13 Nov 2023
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 36 0 0 08 Nov 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 62 9 0 19 Jun 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 20 6 0 23 May 2023
The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study Alessio Zanga Alice Bernasconi Peter J.F. Lucas H. Pijnenborg C. Reijnen M. Scutari Fabio Stella CML 8 2 0 17 May 2023
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach Alessio Zanga Alice Bernasconi Peter J.F. Lucas H. Pijnenborg C. Reijnen M. Scutari Fabio Stella CML 9 4 0 17 May 2023
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models Amirhossein Shahbazinia Saber Salehkaleybar Matin Hashemi CML 33 7 0 28 Sep 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 18 181 0 23 Sep 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 62 103 0 11 Feb 2021
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 141 434 0 20 Feb 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 75 193 0 13 Feb 2013