A Survey on Causal Inference

ACM Transactions on Knowledge Discovery from Data (TKDD), 2020

5 February 2020

Jing Gao

Aidong Zhang

CML

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Papers citing "A Survey on Causal Inference"

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Title
Semantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety Huan Chen Ting Han Siyu Chen Zhihao Guo Yiping Chen Meiliu Wu 16 0 0 17 Oct 2025
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation Yue Que Yingyi Zhang Xiangyu Zhao Chen Ma CML 46 0 0 06 Oct 2025
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method Kairong Han Weidong Huang Taiyang Zhou Peng Zhen Kun Kuang 64 0 0 16 Sep 2025
Latent Variable Modeling for Robust Causal Effect Estimation Tetsuro Morimura Tatsushi Oka Yugo Suzuki Daisuke Moriwaki CML 72 0 0 27 Aug 2025
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect EstimationFrontiers in Applied Mathematics and Statistics (Front. Appl. Math. Stat.), 2025 Ahmad Saeed Khan Erik Schaffernicht J. A. Stork 21 0 0 07 Aug 2025
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation Xusheng Liang Lihua Zhou Nianxin Li Miao Xu Ziyang Song Dong Yi Jinlin Wu Hongbin Liu Jiebo Luo Zhen Lei 56 0 0 07 Aug 2025
Multi-Treatment-DML: Causal Estimation for Multi-Dimensional Continuous Treatments with Monotonicity Constraints in Personal Loan Risk Optimization Kexin Zhao Bo Wang Cuiying Zhao Tongyao Wan 57 0 0 04 Aug 2025
Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations Yifei Chen Yuzhe Zhang Giovanni Dúrso Nicholas Lawrance Brendan Tidd OOD CML 80 2 0 30 Jul 2025
The WHY in Business Processes: Unification of Causal Process Models Yuval David Fabiana Fournier Lior Limonad Inna Skarbovsky 105 1 0 28 May 2025
Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language Models Xinmiao Hu C. Wang Ruihe An ChenYu Shao Xiaojun Ye Sheng Zhou Liangcheng Li MLLM LRM 152 0 0 26 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 175 0 0 26 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Jianchao Tan 258 0 0 26 Apr 2025
Graphical Models for Decision-Making: Integrating Causality and Game Theory Maarten C. Vonk Mauricio Gonzalez Soto Anna V. Kononova CML 131 1 0 16 Apr 2025
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification Xiaojie Yang Z. Fan Hangli Ge Takashi Michikata Ryosuke Shibasaki Noboru Koshizuka 136 2 0 23 Mar 2025
Causal Discovery and Inference towards Urban Elements and Associated Factors Tao Feng Yunke Zhang Xiaochen Fan Huandong Wang Yong Li CML 116 0 0 09 Mar 2025
Disentangled Knowledge Tracing for Alleviating Cognitive BiasThe Web Conference (WWW), 2025 Yiyun Zhou Zheqi Lv Shengyu Zhang Jingyuan Chen AI4Ed 138 12 0 04 Mar 2025
Unveiling and Causalizing CoT: A Causal Pespective Jiarun Fu LiZhong Ding Hao Li P. Li Qiuning Wei Xu Chen LRM 182 2 0 25 Feb 2025
Zero-Shot Commonsense Validation and Reasoning with Large Language Models: An Evaluation on SemEval-2020 Task 4 Dataset Rawand Alfugaha Mohammad AL-Smadi LRM ELM 122 0 0 19 Feb 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 269 0 0 18 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 183 0 0 18 Feb 2025
FedGES: A Federated Learning Approach for BN Structure LearningIFIP Working Conference on Database Semantics (IWDS), 2025 Pablo Torrijos J. A. Gamez J. M. Puerta FedML 239 4 0 03 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data Sheresh Zahoor Pietro Liò G. Dias Mohammed Hasanuzzaman 153 0 0 28 Jan 2025
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 484 1 0 23 Nov 2024
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data Lynda Aouar Han Yu CML 217 0 0 22 Nov 2024
Heterophilic Graph Neural Networks Optimization with Causal Message-passingWeb Search and Data Mining (WSDM), 2024 Botao Wang Jia Li Heng Chang Jianchao Tan Fugee Tsung 232 6 0 21 Nov 2024
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationKnowledge Discovery and Data Mining (KDD), 2024 Hechuan Wen Tong Chen Guanhua Ye Li Kheng Chai S. Sadiq Hongzhi Yin OOD 197 2 0 18 Nov 2024
Unified Causality Analysis Based on the Degrees of FreedomPhysical Review E (Phys. Rev. E), 2024 András Telcs M. T. Kurbucz Antal Jakovác CML 103 1 0 25 Oct 2024
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han Yangqiu Song Guangyi Chen Leilei Gan Kun Zhang LRM 208 16 0 20 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI AuditingConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024 Sarah H. Cen Rohan Alur 147 7 0 07 Oct 2024
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency Kangsheng Wang Xiao Zhang Zizheng Guo Tianyu Hu Huimin Ma LRM 232 8 0 20 Sep 2024
Causal Inference with Large Language Model: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Jing Ma CML LRM 429 17 0 15 Sep 2024
Non-negative Weighted DAG Structure LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Samuel Rey S. S. Saboksayr Gonzalo Mateos CML 154 2 0 12 Sep 2024
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning Arda Sarp Yenicesu Sepehr Nourmohammadi Berk Cicek Ozgur S. Oguz 149 0 0 09 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Pengfei Shi Wei Zhong Xinyu Zhang Ningtao Wang Xing Fu Weiqiang Wang Yin Jin CML BDL 82 0 0 30 Aug 2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect EstimationIEEE International Conference on Information Reuse and Integration (IRI), 2024 Chan Hsu Jun-Ting Wu Yihuang Kang CML 76 1 0 27 Aug 2024
CSRec: Rethinking Sequential Recommendation from A Causal PerspectiveAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024 Xiaoyu Liu Jiaxin Yuan Yuhang Zhou Jingling Li Furong Huang Wei Ai CML HAI 54 4 0 23 Aug 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth Yuxiang Wei Zhaoxin Qiu Yingjie Li Yuke Sun Xiaoling Li OffRL 141 1 0 23 Aug 2024
Estimating Peer Direct and Indirect Effects in Observational Network Data Xiaojing Du Jiuyong Li Debo Cheng Lin Liu Wentao Gao Xiongren Chen CML 75 5 0 21 Aug 2024
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and MethodKnowledge Discovery and Data Mining (KDD), 2024 Chen Yang Sunhao Dai Yupeng Hou Wayne Xin Zhao Jun Xu Yang Song Hengshu Zhu 106 4 0 19 Aug 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables Yang Xie Ziqi Xu Debo Cheng Jiuyong Li Lin Liu Yinghao Zhang Zaiwen Feng CML BDL 105 0 0 13 Aug 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 132 0 0 10 Aug 2024
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey Bin Wu C. S. Suh 3DV 139 3 0 03 Aug 2024
Causal Interventional Prediction System for Robust and Explainable Effect ForecastingInternational Conference on Information and Knowledge Management (CIKM), 2024 Zhixuan Chu Hui Ding Guang Zeng Shiyu Wang Yiming Li CML 158 2 0 29 Jul 2024
Interpreting Low-level Vision Models with Causal Effect MapsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 318 7 0 29 Jul 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 140 3 0 19 Jul 2024
PORCA: Root Cause Analysis with Partially Observed Data Chang Gong Di Yao Jin Wang Wenbin Li Lanting Fang Yongtao Xie Kaiyu Feng Peng Han Jingping Bi 159 4 0 08 Jul 2024
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version) Björn Filter Ralf Möller Özgür L. Özçep FedML 95 0 0 04 Jul 2024
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations Yuling Zhang Anpeng Wu Kun Kuang Liang Du Zixun Sun Zhi Wang OODD 168 2 0 03 Jul 2024
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration Jiehui Zhou Xumeng Wang Kam-Kwai Wong Wei Zhang Xingyu Liu Juntian Zhang Minfeng Zhu Wei Chen CML 104 2 0 02 Jul 2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect Jiehui Zhou Linxiao Yang Xingyu Liu Xinyue Gu Lin Sun Wei Chen CML 102 0 0 01 Jul 2024