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1910.08527
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Masked Gradient-Based Causal Structure Learning
SDM (SDM), 2019
18 October 2019
Ignavier Ng
Shengyu Zhu
Zhuangyan Fang
Haoyang Li
Zhitang Chen
Jun Wang
CML
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Papers citing
"Masked Gradient-Based Causal Structure Learning"
50 / 88 papers shown
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325
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Shylock: Causal Discovery in Multivariate Time Series based on Hybrid Constraints
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Keqin Xu
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135
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24 Oct 2025
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
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Tianle Yang
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Li He
Liang Wang
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Bo Zheng
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CML
HAI
216
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
119
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
119
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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
183
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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
108
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01 Sep 2025
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna G. Sethuraman
Faramarz Fekri
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112
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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
325
1
0
21 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal Models
International Conference on Learning Representations (ICLR), 2024
Parjanya Prashant
Ignavier Ng
Kun Zhang
Zhen Zhang
CML
589
1
0
29 Nov 2024
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2024
Jawad Chowdhury
G. Terejanu
AI4CE
BDL
OOD
OODD
387
0
0
09 Nov 2024
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DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
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Slavomír Hanzely
Loka Li
Kun Zhang
Martin Takáč
Dmitry Kamzolov
266
4
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
594
1
0
25 Oct 2024
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data
Muralikrishnna G. Sethuraman
Razieh Nabi
Faramarz Fekri
CML
OOD
248
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0
24 Oct 2024
Revisiting Differentiable Structure Learning: Inconsistency of
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Kaifeng Jin
Ignavier Ng
Kun Zhang
Zhen Zhang
318
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24 Oct 2024
Causal Order Discovery based on Monotonic SCMs
Ali Izadi
Martin Ester
201
1
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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
223
7
0
09 Oct 2024
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees
IEEE Transactions on Network Science and Engineering (TNSE), 2024
Qiu Chengbo
Yang Kai
CML
242
2
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09 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
International Conference on Learning Representations (ICLR), 2024
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
617
1
0
30 Jul 2024
Scalable Variational Causal Discovery Unconstrained by Acyclicity
Nu Hoang
Bao Duong
Thin Nguyen
CML
311
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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
206
8
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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
370
14
0
23 Apr 2024
Learning Cyclic Causal Models from Incomplete Data
Muralikrishnna G. Sethuraman
Faramarz Fekri
OOD
CML
184
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
267
5
0
23 Feb 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing
Industrial Conference on Data Mining (IDM), 2023
Li Sun
Zhenhao Huang
Hua Wu
Junda Ye
Hao Peng
Zhengtao Yu
Philip S. Yu
230
17
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23 Jan 2024
Boosting Causal Additive Models
Maximilian Kertel
Nadja Klein
247
0
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12 Jan 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Naiyu Yin
Tian Gao
Yue Yu
Qiang Ji
CML
357
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20 Dec 2023
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
Fabrizio Russo
Francesca Toni
456
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18 Dec 2023
Federated Causality Learning with Explainable Adaptive Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2023
Dezhi Yang
Xintong He
Jun Wang
Guoxian Yu
C. Domeniconi
Jinglin Zhang
FedML
CML
216
12
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09 Dec 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Neural Information Processing Systems (NeurIPS), 2023
Yeshu Li
Brian Ziebart
OOD
203
1
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10 Nov 2023
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
Hangtong Xu
Yuanbo Xu
Yongjian Yang
Fuzhen Zhuang
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337
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02 Nov 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix
Yunfeng Cai
Xu Li
Ming Sun
Ping Li
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254
1
0
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Joint Distributional Learning via Cramer-Wold Distance
SeungHwan An
Jong-June Jeon
240
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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
464
23
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17 Oct 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations
International Conference on Learning Representations (ICLR), 2023
Riccardo Massidda
Francesco Landolfi
Martina Cinquini
Davide Bacciu
268
8
0
15 Sep 2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning
International Conference on Information and Knowledge Management (CIKM), 2023
Siwei Zhang
Yun Xiong
Yao Zhang
Yiheng Sun
Xiangshan Chen
Yizhu Jiao
Yangyong Zhu
NoLa
218
19
0
05 Sep 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Aneesh Komanduri
Yongkai Wu
Feng Chen
Xintao Wu
CML
OOD
463
16
0
02 Jun 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK
Expert systems with applications (ESWA), 2023
Anthony C. Constantinou
N. K. Kitson
Yang Liu
Kiattikun Chobtham
Arian Hashemzadeh
Praharsh Nanavati
R. Mbuvha
Bruno Petrungaro
CML
199
18
0
05 May 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond
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Ignavier Ng
Erdun Gao
Kun Zhang
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405
29
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A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
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Emam Hossain
Md. Osman Gani
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AI4TS
559
47
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Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
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392
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17 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting
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Fang Liu
Wenchang Ma
Zhibo Cai
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250
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MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
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M. A. Alam
Bruno Ribeiro
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Emerging Synergies in Causality and Deep Generative Models: A Survey
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Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
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466
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NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Muralikrishnna G. Sethuraman
Romain Lopez
Ramkumar Veppathur Mohan
Faramarz Fekri
Tommaso Biancalani
Jan-Christian Hütter
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227
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Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2023
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Rezaur Rashid
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213
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Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
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Jie Lei
Weiying Xie
Yunsong Li
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245
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Towards Privacy-Aware Causal Structure Learning in Federated Setting
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Xianjie Guo
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Fuyuan Cao
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Pasquale Minervini
Luca Franceschi
Valentina Zantedeschi
201
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27 Oct 2022
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