Penalized Estimation of Directed Acyclic Graphs From Discrete Data

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Penalized Estimation of Directed Acyclic Graphs From Discrete Data

10 March 2014

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Papers citing "Penalized Estimation of Directed Acyclic Graphs From Discrete Data"

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Title
Causal Discovery on Dependent Binary Data Alex Chen Qing Zhou CML 67 0 0 31 Dec 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 150 0 0 08 Oct 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 77 2 0 14 Mar 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 115 84 0 16 Sep 2022
Distributed Learning of Generalized Linear Causal Networks Qiaoling Ye Arash A. Amini Qing Zhou CML OOD AI4CE 86 16 0 23 Jan 2022
Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Álvarez Wenbo Gong A. Lamb Simon Woodhead Simon L. Peyton Jones Nick Pawlowski Miltiadis Allamanis Cheng Zhang 138 18 0 15 Oct 2021
A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional Data Nazanin Shajoonnezhad Amin Nikanjam 50 3 0 21 Aug 2021
Partitioned hybrid learning of Bayesian network structures Jireh Huang Qing Zhou TPM 68 9 0 22 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
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications Rong Zhu A. Pfadler Ziniu Wu Yuxing Han Xiaoke Yang Feng Ye Zhenping Qian Jingren Zhou Tengjiao Wang 79 9 0 07 Dec 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 89 71 0 18 Oct 2020
Gradient-based Causal Structure Learning with Normalizing Flow Xiong Chen CML BDL DRL 36 0 0 07 Oct 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 182 261 0 29 Sep 2019
Learning Gaussian DAGs from Network Data Hangjian Li Oscar Hernan Madrid Padilla Qing Zhou CML 140 2 0 26 May 2019
Optimizing regularized Cholesky score for order-based learning of Bayesian networks Qiaoling Ye Arash A. Amini Qing Zhou BDL CML 67 30 0 28 Apr 2019
Learning big Gaussian Bayesian networks: partition, estimation, and fusion J. Gu Qing Zhou GNN 46 19 0 24 Apr 2019
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 111 952 0 04 Mar 2018
Model selection and local geometry R. Evans 93 14 0 25 Jan 2018
Learning Large-Scale Bayesian Networks with the sparsebn Package Bryon Aragam J. Gu Qing Zhou CML 69 56 0 11 Mar 2017