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On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

17 June 2020

Papers citing "On the Role of Sparsity and DAG Constraints for Learning Linear DAGs"

50 / 85 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 187 8 0 13 Mar 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 162 0 0 06 Mar 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 77 0 0 15 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 149 0 0 28 Jan 2025
On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching Ali Bavafa Gholam-Ali Hossein-Zadeh CML CVBM 55 0 0 04 Jan 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren Huatian Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 77 0 0 23 Dec 2024
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data Yue Cheng Jiajun Zhang Weiwei Xing Xiaoyu Guo Yue Cheng Witold Pedrycz CML 151 0 0 25 Oct 2024
Asymmetric Graph Error Control with Low Complexity in Causal Bandits Chen Peng Di Zhang Urbashi Mitra CML 82 4 0 20 Aug 2024
Standardizing Structural Causal Models Weronika Ormaniec Scott Sussex Lars Lorch Bernhard Schölkopf Andreas Krause CML 143 7 0 17 Jun 2024
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis Lecheng Zheng Zhengzhang Chen Dongjie Wang Chengyuan Deng Reon Matsuoka Haifeng Chen 57 3 0 08 Jun 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 80 1 0 07 Jun 2024
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 122 1 0 27 May 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks Abdolmahdi Bagheri Mahdi Dehshiri Babak N. Araabi Alireza Akhondi-Asl CML 87 1 0 08 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 89 1 0 26 Feb 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 144 1 0 22 Feb 2024
Shadow Datasets, New challenging datasets for Causal Representation Learning Jiageng Zhu Hanchen Xie Jianhua Wu Jiazhi Li Mahyar Khayatkhoei Mohamed E. Hussein Wael AbdAlmageed 63 2 0 10 Aug 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 58 3 0 30 Jun 2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis Tian-Shing Lan Ziyue Li Zhishuai Li Lei Bai Man Li Fugee Tsung W. Ketter Rui Zhao Chen Zhang 52 13 0 05 Jun 2023
dotears: Scalable, consistent DAG estimation using observational and interventional data Albert Y Xue Jingyou Rao S. Sankararaman Harold Pimentel OOD CML 40 4 0 30 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
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 96 21 0 04 Apr 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 77 5 0 06 Mar 2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization Dongjie Wang Zhengzhang Chen Jingchao Ni Liang Tong Zheng Wang Yanjie Fu Haifeng Chen AI4CE 52 19 0 03 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
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS Jawad Chowdhury Rezaur Rashid G. Terejanu CML 73 10 0 04 Jan 2023
Identifying Unique Causal Network from Nonstationary Time Series Mingyu Kang Duxin Chen Ning Meng Gang Yan Wenwu Yu BDL CML 13 2 0 18 Nov 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks Yue Yu Xuan Kan Hejie Cui Ran Xu Yu Zheng ... Kun Zhang Razieh Nabi Ying Guo Chaogang Zhang Carl Yang 56 18 0 01 Nov 2022
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 56 2 0 27 Oct 2022
Sparsity in Continuous-Depth Neural Networks H. Aliee Till Richter Mikhail Solonin I. Ibarra Fabian J. Theis Niki Kilbertus 97 11 0 26 Oct 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 113 84 0 16 Sep 2022
Causal Fourier Analysis on Directed Acyclic Graphs and Posets B. Seifert Chris Wendler Markus Püschel 100 20 0 16 Sep 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 104 10 0 09 Sep 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Biwei Huang CML 79 4 0 07 Sep 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Biwei Huang Kun Zhang Javen Qinfeng Shi 75 25 0 30 Aug 2022
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods Giovanni Menegozzo Diego DallÁlba Paolo Fiorini 119 7 0 02 Aug 2022
Latent Variable Models for Bayesian Causal Discovery Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML BDL 51 1 0 12 Jul 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 87 43 0 15 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 49 2 0 13 Jun 2022
Differentiable and Transportable Structure Learning Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 87 2 0 13 Jun 2022
Differentiable Invariant Causal Discovery Yu Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 124 2 0 31 May 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao Ignavier Ng Biwei Huang Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 137 23 0 27 May 2022
From graphs to DAGs: a low-complexity model and a scalable algorithm Shuyu Dong Michèle Sebag CML 60 5 0 10 Apr 2022
STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity Yuhao Kang Kunlin Wu Song Gao Ignavier Ng Jinmeng Rao Shan Ye Fan Zhang Teng Fei 21 20 0 17 Mar 2022
FedDAG: Federated DAG Structure Learning Erdun Gao Junjia Chen Li Shen Tongliang Liu Biwei Huang H. Bondell FedML 87 17 0 07 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 95 72 0 06 Dec 2021
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 127 61 0 30 Nov 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 84 38 0 18 Oct 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 87 72 0 22 Jul 2021
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics P. Gillot P. Parviainen CML BDL 24 3 0 01 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 78 60 0 14 Jun 2021