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Gradient-Based Neural DAG Learning

5 June 2019

Papers citing "Gradient-Based Neural DAG Learning"

50 / 188 papers shown

Title
Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees Jiahe Lin Huitian Lei G. Michailidis 18 1 0 26 Nov 2023
Stable Differentiable Causal Discovery Achille Nazaret Justin Hong Elham Azizi David M. Blei CML 104 10 0 17 Nov 2023
Learned Causal Method Prediction Shantanu Gupta Cheng Zhang Agrin Hilmkil OOD 93 2 0 07 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 100 2 0 02 Nov 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 115 0 0 02 Nov 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 84 1 0 01 Nov 2023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice Damian Machlanski Spyridon Samothrakis Paul Clarke CML 71 1 0 27 Oct 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling Zhenyu Zhu Francesco Locatello Volkan Cevher 74 7 0 27 Oct 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 56 0 0 25 Oct 2023
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Aniket Vashishtha Abbavaram Gowtham Reddy Abhinav Kumar Saketh Bachu Vineeth N. Balasubramanian Amit Sharma CML 54 19 0 23 Oct 2023
Shortcuts for causal discovery of nonlinear models by score matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Francesco Locatello CML 81 3 0 22 Oct 2023
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi CML 92 2 0 20 Oct 2023
Assumption violations in causal discovery and the robustness of score matching Francesco Montagna Atalanti A. Mastakouri Elias Eulig Nicoletta Noceti Lorenzo Rosasco Dominik Janzing Bryon Aragam Francesco Locatello OOD 90 18 0 20 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and Attention Jiaqi Zhang Joel Jennings Agrin Hilmkil Nick Pawlowski Cheng Zhang Chao Ma CML 112 14 0 01 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 78 6 0 15 Sep 2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance Quang-Duy Tran Phuoc Nguyen Bao Duong Thin Nguyen 76 2 0 04 Sep 2023
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction Zhoujian Sun Wenzhuo Zhang Zhengxing Huang Nai Ding Cheng Luo CML 91 2 0 18 Aug 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series Anpeng Wu Haoxuan Li Kun Kuang Ke Zhang Leilei Gan CML 117 2 0 16 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 87 3 0 14 Aug 2023
Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI Jia Li Xiang Li 37 0 0 31 Jul 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery Yashas Annadani Nick Pawlowski Joel Jennings Stefan Bauer Cheng Zhang Wenbo Gong CML BDL 98 19 0 26 Jul 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 87 16 0 18 Jul 2023
Heteroscedastic Causal Structure Learning Bao Duong T. Nguyen CML 87 2 0 16 Jul 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang C. Squires Kristjan Greenewald Akash Srivastava Karthikeyan Shanmugam Caroline Uhler CML 129 65 0 12 Jul 2023
Global Optimality in Bivariate Gradient-based DAG Learning Chang Deng Kevin Bello Bryon Aragam Pradeep Ravikumar 65 8 0 30 Jun 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 65 3 0 30 Jun 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 113 25 0 28 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
Discovering Dynamic Causal Space for DAG Structure Learning Fan Liu Wenchang Ma An Zhang Xiang Wang Yueqi Duan Tat-Seng Chua OOD CML 41 2 0 05 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 33 4 0 02 Jun 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 89 10 0 02 Jun 2023
Optimizing NOTEARS Objectives via Topological Swaps Chang Deng Kevin Bello Bryon Aragam Pradeep Ravikumar 22 14 0 26 May 2023
Learning Causal Graphs via Monotone Triangular Transport Maps S. Akbari Luca Ganassali Negar Kiyavash OT CML 53 8 0 26 May 2023
Learning DAGs from Data with Few Root Causes Panagiotis Misiakos Chris Wendler Markus Püschel CML 94 11 0 25 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
Toward Falsifying Causal Graphs Using a Permutation-Based Test Elias Eulig Atalanti A. Mastakouri Patrick Blobaum Michael W. Hardt Dominik Janzing 35 13 0 16 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search Uzma Hasan Md. Osman Gani CML 69 2 0 11 Apr 2023
Scalable Causal Discovery with Score Matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Kun Zhang Francesco Locatello CML 111 26 0 06 Apr 2023
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Kun Zhang Francesco Locatello CML 58 29 0 06 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 101 21 0 04 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
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman Chao Ma Agrin Hilmkil Joel Jennings Cheng Zhang CML AI4CE 93 10 0 22 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 114 18 0 17 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 82 5 0 06 Mar 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 103 25 0 08 Feb 2023
On Learning Necessary and Sufficient Causal Graphs Hengrui Cai Yixin Wang Michael Jordan Rui Song CML 76 12 0 29 Jan 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 86 11 0 27 Jan 2023
Causal Structural Learning from Time Series: A Convex Optimization Approach S. Wei Yao Xie CML 73 2 0 26 Jan 2023
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS Jawad Chowdhury Rezaur Rashid G. Terejanu CML 73 10 0 04 Jan 2023
Directed Acyclic Graph Structure Learning from Dynamic Graphs Shaohua Fan Shuyang Zhang Xiao Wang Chuan Shi CML 130 5 0 30 Nov 2022