Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure

26 September 2013

Papers citing "Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure"

24 / 24 papers shown

Title
When Selection Meets Intervention: Additional Complexities in Causal Discovery Haoyue Dai Ignavier Ng Jianle Sun Zeyu Tang Gongxu Luo Xinshuai Dong Peter Spirtes Kun Zhang CML 116 0 0 10 Mar 2025
ION-C: Integration of Overlapping Networks via Constraints Praveen Nair Payal Bhandari Mohammadsajad Abavisani Sergey Plis David Danks GNN 50 0 0 06 Nov 2024
Visual Analysis of Multi-outcome Causal Graphs Mengjie Fan Jinlu Yu Daniel Weiskopf Nan Cao Huai-Yu Wang Liang Zhou CML 58 1 0 31 Jul 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 309 2 0 07 May 2024
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism Philipp Froehlich Heinz Koeppl GNN 55 2 0 12 Feb 2024
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version) Pingchuan Ma Zhenlan Ji Peisen Yao Shuai Wang Kui Ren 65 3 0 11 Sep 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints Mohammadsajad Abavisani David Danks Sergey Plis CML 51 5 0 18 May 2022
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation Mohit Kumar Samuel Kolb Stefano Teso Luc de Raedt NAI 36 14 0 08 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 81 2 0 09 Nov 2021
Obtaining Causal Information by Merging Datasets with MAXENT Sergio Hernan Garrido Mejia Elke Kirschbaum Dominik Janzing CML 123 10 0 15 Jul 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
Efficient Intervention Design for Causal Discovery with Latents Raghavendra Addanki S. Kasiviswanathan A. Mcgregor Cameron Musco CML 64 30 0 24 May 2020
Learning Adjustment Sets from Observational and Limited Experimental Data Sofia Triantafillou Gregory F. Cooper CML 53 7 0 18 May 2020
Towards Robust Relational Causal Discovery Sanghack Lee Vasant Honavar 78 9 0 05 Dec 2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions Zhalama Zhalama Jiji Zhang F. Eberhardt W. Mayer Mark Junjie Li 37 7 0 06 Jun 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 73 17 0 28 Jan 2019
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 75 30 0 05 May 2018
Using Noisy Extractions to Discover Causal Knowledge Dhanya Sridhar Jay Pujara Lise Getoor 37 1 0 16 Nov 2017
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 93 167 0 18 Nov 2016
A Review on Algorithms for Constraint-based Causal Discovery Kui Yu Jiuyong Li Lin Liu AI4TS CML 64 22 0 12 Nov 2016
Identifiability Assumptions and Algorithm for Directed Graphical Models with Feedback G. Park Garvesh Raskutti CML 24 6 0 14 Feb 2016
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets Sofia Triantafillou Ioannis Tsamardinos CML 163 151 0 10 Mar 2014