Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets

10 March 2014

Papers citing "Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets"

50 / 58 papers shown

Title
Flow-Based Non-stationary Temporal Regime Causal Structure Learning Abdellah Rahmani P. Frossard AI4TS CML 24 0 0 20 Jun 2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets Christine W. Bang Vanessa Didelez CML 158 0 0 27 Mar 2025
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
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 256 2 0 20 Feb 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 192 16 0 10 Jan 2025
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support Martin Rabel Wiebke Günther Jakob Runge Andreas Gerhardus 31 0 0 27 Oct 2024
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data Muralikrishnna G. Sethuraman Razieh Nabi Faramarz Fekri CML OOD 73 0 0 24 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 88 0 0 09 Aug 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 48 1 0 23 Feb 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 64 0 0 22 Feb 2024
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables Xinshuai Dong Erdun Gao Ignavier Ng Xiangchen Song Yujia Zheng Songyao Jin Roberto Legaspi Peter Spirtes Kun Zhang BDL CML 108 13 0 18 Dec 2023
Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 67 7 0 09 Dec 2023
Stable Differentiable Causal Discovery Achille Nazaret Justin Hong Elham Azizi David M. Blei CML 104 10 0 17 Nov 2023
Causal discovery using dynamically requested knowledge N. K. Kitson Anthony C. Constantinou CML 41 1 0 17 Oct 2023
Structural transfer learning of non-Gaussian DAG Mingyang Ren Xin He Junhui Wang CML 43 0 0 16 Oct 2023
Projecting infinite time series graphs to finite marginal graphs using number theory Andreas Gerhardus Jonas Wahl Sofia Faltenbacher Urmi Ninad Jakob Runge AI4TS 56 3 0 09 Oct 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah Karthikeyan Shanmugam Murat Kocaoglu CML 77 7 0 19 Jun 2023
Reinterpreting causal discovery as the task of predicting unobserved joint statistics Dominik Janzing P. M. Faller L. C. Vankadara CML 103 3 0 11 May 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
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning Muralikrishnna G. Sethuraman Romain Lopez Ramkumar Veppathur Mohan Faramarz Fekri Tommaso Biancalani Jan-Christian Hütter CML 79 12 0 04 Jan 2023
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
Formalizing Statistical Causality via Modal Logic Yusuke Kawamoto Sato Tetsuya Kohei Suenaga CML LRM 129 2 0 30 Oct 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 81 8 0 11 Aug 2022
XInsight: eXplainable Data Analysis Through The Lens of Causality Pingchuan Ma Rui Ding Shuai Wang Shi Han Dongmei Zhang CML 76 21 0 26 Jul 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
Differentiable Invariant Causal Discovery Yu Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 135 2 0 31 May 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 100 20 0 02 Feb 2022
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions Kiattikun Chobtham Anthony C. Constantinou N. K. Kitson BDL 43 3 0 20 Dec 2021
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Biwei Huang H. Bondell FedML 87 17 0 07 Dec 2021
A Fast Non-parametric Approach for Local Causal Structure Learning Mona Azadkia Armeen Taeb Peter Buhlmann CML 64 3 0 29 Nov 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 106 53 0 29 Nov 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 91 38 0 18 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 106 198 0 23 Sep 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 102 72 0 22 Jul 2021
Obtaining Causal Information by Merging Datasets with MAXENT Sergio Hernan Garrido Mejia Elke Kirschbaum Dominik Janzing CML 123 10 0 15 Jul 2021
Causal Markov Boundaries Sofia Triantafillou Fattaneh Jabbari Gregory F. Cooper CML OOD 55 5 0 12 Mar 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
Causal learning with sufficient statistics: an information bottleneck approach D. Chicharro M. Besserve S. Panzeri CML 54 5 0 12 Oct 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 99 191 0 03 Jul 2020
Combining Experts' Causal Judgments Dalal Alrajeh Hana Chockler Joseph Y. Halpern CML 56 19 0 20 May 2020
Combining the Causal Judgments of Experts with Possibly Different Focus Areas Meir Friedenberg Joseph Y. Halpern CML 45 4 0 20 May 2020
Learning Adjustment Sets from Observational and Limited Experimental Data Sofia Triantafillou Gregory F. Cooper CML 45 7 0 18 May 2020
Probabilistic Reasoning across the Causal Hierarchy D. Ibeling Thomas Icard LRM AI4CE 57 31 0 09 Jan 2020
Towards Robust Relational Causal Discovery Sanghack Lee Vasant Honavar 72 9 0 05 Dec 2019
Integrating overlapping datasets using bivariate causal discovery Anish Dhir Ciarán M. Gilligan-Lee CML 59 20 0 24 Oct 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables Adarsh Barik Jean Honorio 102 6 0 29 May 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach Santtu Tikka Antti Hyttinen Juha Karvanen CML 156 31 0 04 Feb 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 70 17 0 28 Jan 2019
Removing Hidden Confounding by Experimental Grounding Nathan Kallus A. Puli Uri Shalit CML 115 147 0 27 Oct 2018
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions Karren D. Yang Abigail Katoff Caroline Uhler CML 83 103 0 17 Feb 2018