Title
Differentially Private and Federated Structure Learning in Bayesian Networks Ghita Fassy El Fehri Aurélien Bellet Philippe Bastien FedML 106 0 0 01 Dec 2025
Higher-Order Causal Structure Learning with Additive Models James Enouen Yujia Zheng Ignavier Ng Yan Liu Kun Zhang CML 301 2 0 05 Nov 2025
Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints Shuo Li Keqin Xu Jie Liu Dan Ye AI4TS 109 0 0 24 Oct 2025
CausalRec: A CausalBoost Attention Model for Sequential Recommendation Yunbo Hou Tianle Yang Ruijie Li Li He Liang Wang Weiping Li Bo Zheng Guojie Song CML HAI 196 0 0 24 Oct 2025
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 111 0 0 05 Oct 2025
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings Tongzhou Wu Yuhao Wang Xinjian Zhao Chi Zhang Xiangyu Zhao HAI AI4TS 92 0 0 05 Oct 2025
A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation Melika Sabaghian Mohammad Ali Keyvanrad Seyyedeh Mahila Moghadami 134 0 0 16 Sep 2025
Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case Tim Schwabe Moritz Lange Laurenz Wiskott Maribel Acosta CML 105 0 0 01 Sep 2025
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders Muralikrishnna G. Sethuraman Faramarz Fekri CML 97 0 0 11 Aug 2025
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Guangyi Chen Yingyao Hu Kun Zhang CML 305 1 0 21 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal ModelsInternational Conference on Learning Representations (ICLR), 2024 Parjanya Prashant Ignavier Ng Kun Zhang Zhen Zhang CML 550 0 0 29 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution GeneralizationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2024 Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 379 0 0 09 Nov 2024
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 220 3 0 31 Oct 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 535 1 0 25 Oct 2024
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data Muralikrishnna G. Sethuraman Razieh Nabi Faramarz Fekri CML OOD 238 0 0 24 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 314 0 0 24 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 169 1 0 24 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding Philippe Brouillard Sébastien Lachapelle Julia Kaltenborn Yaniv Gurwicz Dhanya Sridhar Alexandre Drouin Peer Nowack Jakob Runge David Rolnick CML 187 7 0 09 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality GuaranteesIEEE Transactions on Network Science and Engineering (TNSE), 2024 Qiu Chengbo Yang Kai CML 214 1 0 09 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive RepresentationsInternational Conference on Learning Representations (ICLR), 2024 Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 541 1 0 30 Jul 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 275 0 0 06 Jul 2024
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Inwoo Hwang Yunhyeok Kwak Yeon-Ji Song Byoung-Tak Zhang Sanghack Lee CML 149 8 0 12 May 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model Peiwen Li Xin Wang Zeyang Zhang Yuan Meng Fang-lin Shen Yue Li Jialong Wang Yang Li Wenweu Zhu 334 14 0 23 Apr 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 160 1 0 23 Feb 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 255 5 0 23 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingIndustrial Conference on Data Mining (IDM), 2023 Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 158 17 0 23 Jan 2024
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 195 0 0 12 Jan 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model Naiyu Yin Tian Gao Yue Yu Qiang Ji CML 304 3 0 20 Dec 2023
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 396 0 0 18 Dec 2023
Federated Causality Learning with Explainable Adaptive OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 199 12 0 09 Dec 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian NetworksNeural Information Processing Systems (NeurIPS), 2023 Yeshu Li Brian Ziebart OOD 187 1 0 10 Nov 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 301 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 238 1 0 01 Nov 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 205 0 0 25 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 448 23 0 17 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic OrientationsInternational Conference on Learning Representations (ICLR), 2023 Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 236 8 0 15 Sep 2023
RDGSL: Dynamic Graph Representation Learning with Structure LearningInternational Conference on Information and Knowledge Management (CIKM), 2023 Siwei Zhang Yun Xiong Yao Zhang Yiheng Sun Xiangshan Chen Yizhu Jiao Yangyong Zhu NoLa 178 19 0 05 Sep 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 381 16 0 02 Jun 2023
Open problems in causal structure learning: A case study of COVID-19 in the UKExpert systems with applications (ESWA), 2023 Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 163 18 0 05 May 2023
Structure Learning with Continuous Optimization: A Sober Look and BeyondCLEaR (CLEaR), 2023 Ignavier Ng Erdun Gao Kun Zhang CML 365 28 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 519 47 0 27 Mar 2023
Causal Discovery from Temporal Data: An Overview and New PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023 Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 343 41 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 220 8 0 06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 133 6 0 06 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 430 14 0 29 Jan 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Muralikrishnna G. Sethuraman Romain Lopez Ramkumar Veppathur Mohan Faramarz Fekri Tommaso Biancalani Jan-Christian Hütter CML 211 16 0 04 Jan 2023
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARSInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2023 Jawad Chowdhury Rezaur Rashid G. Terejanu CML 193 13 0 04 Jan 2023
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teachingIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022 Jiaqing Zhang Jie Lei Weiying Xie Yunsong Li Wenxuan Wang MQ 225 37 0 31 Dec 2022
Towards Privacy-Aware Causal Structure Learning in Federated SettingIEEE Transactions on Big Data (TBD), 2022 Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 274 13 0 13 Nov 2022
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 177 3 0 27 Oct 2022

v1v2v3 (latest)

Masked Gradient-Based Causal Structure Learning

SDM (SDM), 2019

18 October 2019

Papers citing "Masked Gradient-Based Causal Structure Learning"

50 / 88 papers shown

Title
Differentially Private and Federated Structure Learning in Bayesian Networks Ghita Fassy El Fehri Aurélien Bellet Philippe Bastien FedML 106 0 0 01 Dec 2025
Higher-Order Causal Structure Learning with Additive Models James Enouen Yujia Zheng Ignavier Ng Yan Liu Kun Zhang CML 301 2 0 05 Nov 2025
Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints Shuo Li Keqin Xu Jie Liu Dan Ye AI4TS 109 0 0 24 Oct 2025
CausalRec: A CausalBoost Attention Model for Sequential Recommendation Yunbo Hou Tianle Yang Ruijie Li Li He Liang Wang Weiping Li Bo Zheng Guojie Song CML HAI 196 0 0 24 Oct 2025
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 111 0 0 05 Oct 2025
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings Tongzhou Wu Yuhao Wang Xinjian Zhao Chi Zhang Xiangyu Zhao HAI AI4TS 92 0 0 05 Oct 2025
A Novel Compression Framework for YOLOv8: Achieving Real-Time Aerial Object Detection on Edge Devices via Structured Pruning and Channel-Wise Distillation Melika Sabaghian Mohammad Ali Keyvanrad Seyyedeh Mahila Moghadami 134 0 0 16 Sep 2025
Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case Tim Schwabe Moritz Lange Laurenz Wiskott Maribel Acosta CML 105 0 0 01 Sep 2025
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders Muralikrishnna G. Sethuraman Faramarz Fekri CML 97 0 0 11 Aug 2025
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Guangyi Chen Yingyao Hu Kun Zhang CML 305 1 0 21 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal ModelsInternational Conference on Learning Representations (ICLR), 2024 Parjanya Prashant Ignavier Ng Kun Zhang Zhen Zhang CML 550 0 0 29 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution GeneralizationInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2024 Jawad Chowdhury G. Terejanu AI4CE BDL OOD OODD 379 0 0 09 Nov 2024
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 220 3 0 31 Oct 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 535 1 0 25 Oct 2024
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data Muralikrishnna G. Sethuraman Razieh Nabi Faramarz Fekri CML OOD 238 0 0 24 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 314 0 0 24 Oct 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 169 1 0 24 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding Philippe Brouillard Sébastien Lachapelle Julia Kaltenborn Yaniv Gurwicz Dhanya Sridhar Alexandre Drouin Peer Nowack Jakob Runge David Rolnick CML 187 7 0 09 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality GuaranteesIEEE Transactions on Network Science and Engineering (TNSE), 2024 Qiu Chengbo Yang Kai CML 214 1 0 09 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive RepresentationsInternational Conference on Learning Representations (ICLR), 2024 Yupei Yang Erdun Gao Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 541 1 0 30 Jul 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 275 0 0 06 Jul 2024
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition Inwoo Hwang Yunhyeok Kwak Yeon-Ji Song Byoung-Tak Zhang Sanghack Lee CML 149 8 0 12 May 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model Peiwen Li Xin Wang Zeyang Zhang Yuan Meng Fang-lin Shen Yue Li Jialong Wang Yang Li Wenweu Zhu 334 14 0 23 Apr 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 160 1 0 23 Feb 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 255 5 0 23 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingIndustrial Conference on Data Mining (IDM), 2023 Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 158 17 0 23 Jan 2024
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 195 0 0 12 Jan 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model Naiyu Yin Tian Gao Yue Yu Qiang Ji CML 304 3 0 20 Dec 2023
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework Fabrizio Russo Francesca Toni 396 0 0 18 Dec 2023
Federated Causality Learning with Explainable Adaptive OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 199 12 0 09 Dec 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian NetworksNeural Information Processing Systems (NeurIPS), 2023 Yeshu Li Brian Ziebart OOD 187 1 0 10 Nov 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 301 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 238 1 0 01 Nov 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 205 0 0 25 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 448 23 0 17 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic OrientationsInternational Conference on Learning Representations (ICLR), 2023 Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 236 8 0 15 Sep 2023
RDGSL: Dynamic Graph Representation Learning with Structure LearningInternational Conference on Information and Knowledge Management (CIKM), 2023 Siwei Zhang Yun Xiong Yao Zhang Yiheng Sun Xiangshan Chen Yizhu Jiao Yangyong Zhu NoLa 178 19 0 05 Sep 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 381 16 0 02 Jun 2023
Open problems in causal structure learning: A case study of COVID-19 in the UKExpert systems with applications (ESWA), 2023 Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 163 18 0 05 May 2023
Structure Learning with Continuous Optimization: A Sober Look and BeyondCLEaR (CLEaR), 2023 Ignavier Ng Erdun Gao Kun Zhang CML 365 28 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 519 47 0 27 Mar 2023
Causal Discovery from Temporal Data: An Overview and New PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023 Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 343 41 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 220 8 0 06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 133 6 0 06 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 430 14 0 29 Jan 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Muralikrishnna G. Sethuraman Romain Lopez Ramkumar Veppathur Mohan Faramarz Fekri Tommaso Biancalani Jan-Christian Hütter CML 211 16 0 04 Jan 2023
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARSInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2023 Jawad Chowdhury Rezaur Rashid G. Terejanu CML 193 13 0 04 Jan 2023
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teachingIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022 Jiaqing Zhang Jie Lei Weiying Xie Yunsong Li Wenxuan Wang MQ 225 37 0 31 Dec 2022
Towards Privacy-Aware Causal Structure Learning in Federated SettingIEEE Transactions on Big Data (TBD), 2022 Jianli Huang Xianjie Guo Kui Yu Fuyuan Cao Jiye Liang FedML 274 13 0 13 Nov 2022
Learning Discrete Directed Acyclic Graphs via Backpropagation A. Wren Pasquale Minervini Luca Franceschi Valentina Zantedeschi 177 3 0 27 Oct 2022