Truncated Matrix Power Iteration for Differentiable DAG Learning

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Truncated Matrix Power Iteration for Differentiable DAG Learning

Neural Information Processing Systems (NeurIPS), 2022

30 August 2022

Ehsan Abbasnejad

Javen Qinfeng Shi

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Papers citing "Truncated Matrix Power Iteration for Differentiable DAG Learning"

19 / 19 papers shown

Title
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models Xinshuai Dong Ignavier Ng Haoyue Dai Jiaqi Sun Xiangchen Song Peter Spirtes Kun Zhang CML 83 0 0 05 Oct 2025
Differentiable Structure Learning and Causal Discovery for General Binary Data Chang Deng Bryon Aragam 86 0 0 25 Sep 2025
Analytic DAG Constraints for Differentiable DAG LearningInternational Conference on Learning Representations (ICLR), 2025 Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Mingming Gong Zhen Zhang Kun Zhang Anton van den Hengel Javen Qinfeng Shi CML 216 4 0 24 Mar 2025
Causal Discovery via Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2025 Bao Duong Sunil Gupta Thin Nguyen 297 0 0 28 Jan 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational ComplexityKnowledge Discovery and Data Mining (KDD), 2024 Yixin Ren Huatian Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 223 1 0 23 Dec 2024
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 192 3 0 31 Oct 2024
$Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond$ Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$ Penalty and Beyond Kaifeng Jin Ignavier Ng Kun Zhang Zhen Zhang 274 0 0 24 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure LearningNeural Information Processing Systems (NeurIPS), 2024 Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 465 0 0 08 Oct 2024
On the Identifiability of Sparse ICA without Assuming Non-GaussianityNeural Information Processing Systems (NeurIPS), 2024 Ignavier Ng Yujia Zheng Xinshuai Dong Kun Zhang CML 228 7 0 19 Aug 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 255 0 0 06 Jul 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 361 2 0 27 May 2024
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature ReviewIEEE Internet of Things Journal (IEEE IoT J.), 2023 Member Ieee Yujiao Hu Qingmin Jia Yuao Yao Yong Lee Mengjie Lee Chenyi Wang Xiaomao Zhou Senior Member Ieee Renchao Xie Feng Yu 219 91 0 02 Dec 2023
Constraint-Free Structure Learning with Smooth Acyclic OrientationsInternational Conference on Learning Representations (ICLR), 2023 Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 204 8 0 15 Sep 2023
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message LengthJournal of machine learning research (JMLR), 2023 Katerina Hlaváčková-Schindler A. Melnykova I. Tubikanec 232 2 0 05 Sep 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 382 16 0 19 Jun 2023
Structure Learning with Continuous Optimization: A Sober Look and BeyondCLEaR (CLEaR), 2023 Ignavier Ng Erdun Gao Kun Zhang CML 337 28 0 04 Apr 2023
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 188 7 0 24 Oct 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Biwei Huang CML 240 5 0 07 Sep 2022
Causal Graph Discovery from Self and Mutually Exciting Time SeriesIEEE Journal on Selected Areas in Information Theory (JSAIT), 2021 S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran CML 243 2 0 04 Jun 2021