Structure Learning with Continuous Optimization: A Sober Look and Beyond

4 April 2023

Papers citing "Structure Learning with Continuous Optimization: A Sober Look and Beyond"

21 / 21 papers shown

Title
Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu M. Gong Biwei Huang Kun Zhang Anton van den Hengel Javen Qinfeng Shi CML 46 1 0 24 Mar 2025
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 42 0 0 21 Mar 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren H. M. Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 29 0 0 23 Dec 2024
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Kun Zhang Biwei Huang CML 76 0 0 29 Nov 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 Biwei Huang 32 0 0 24 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 21 0 0 24 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 19 0 0 08 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Mingming Gong Yi-An Ma Biwei Huang 25 0 0 08 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 19 0 0 09 Aug 2024
Sortability of Time Series Data Christopher Lohse Jonas Wahl CML 24 1 0 18 Jul 2024
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments Luka Kovacevic Izzy Newsham Sach Mukherjee John Whittaker CML 26 2 0 08 Jul 2024
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs Victor Akinwande J. Zico Kolter CML 20 1 0 06 Mar 2024
Federated Causal Discovery from Heterogeneous Data Loka Li Ignavier Ng Gongxu Luo Biwei Huang Guan-Hong Chen Tongliang Liu Bin Gu Kun Zhang FedML 29 5 0 20 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 35 7 0 02 Feb 2024
Stable Differentiable Causal Discovery Achille Nazaret Justin Hong Elham Azizi David M. Blei CML 8 9 0 17 Nov 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 17 2 0 15 Sep 2023
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 48 78 0 16 Sep 2022
Multiscale Causal Structure Learning Gabriele DÁcunto P. Lorenzo Sergio Barbarossa 37 4 0 16 Jul 2022
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 48 71 0 18 Oct 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 75 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019