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2002.02770
Cited By
A Survey on Causal Inference
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
5 February 2020
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
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Papers citing
"A Survey on Causal Inference"
50 / 176 papers shown
Title
Semantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety
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0
17 Oct 2025
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
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Yingyi Zhang
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54
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0
06 Oct 2025
Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
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Weidong Huang
Taiyang Zhou
Peng Zhen
Kun Kuang
68
0
0
16 Sep 2025
Latent Variable Modeling for Robust Causal Effect Estimation
Tetsuro Morimura
Tatsushi Oka
Yugo Suzuki
Daisuke Moriwaki
CML
76
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0
27 Aug 2025
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
Frontiers in Applied Mathematics and Statistics (Front. Appl. Math. Stat.), 2025
Ahmad Saeed Khan
Erik Schaffernicht
J. A. Stork
25
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
64
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
65
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
84
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 Bias
The Web Conference (WWW), 2025
Yiyun Zhou
Zheqi Lv
Shengyu Zhang
Jingyuan Chen
AI4Ed
138
13
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 Learning
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Pablo Torrijos
J. A. Gamez
J. M. Puerta
FedML
243
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
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Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
492
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-passing
Web 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 Estimation
Knowledge 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 Freedom
Physical Review E (Phys. Rev. E), 2024
András Telcs
M. T. Kurbucz
Antal Jakovác
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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 Auditing
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Sarah H. Cen
Rohan Alur
147
7
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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 Survey
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jing Ma
CML
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429
17
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15 Sep 2024
Non-negative Weighted DAG Structure Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Samuel Rey
S. S. Saboksayr
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CML
154
2
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12 Sep 2024
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
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Sepehr Nourmohammadi
Berk Cicek
Ozgur S. Oguz
157
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09 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Pengfei Shi
Wei Zhong
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Ningtao Wang
Xing Fu
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Yin Jin
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82
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Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
IEEE International Conference on Information Reuse and Integration (IRI), 2024
Chan Hsu
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76
1
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27 Aug 2024
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
Annual 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
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54
4
0
23 Aug 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Yuxiang Wei
Zhaoxin Qiu
Yingjie Li
Yuke Sun
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141
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Estimating Peer Direct and Indirect Effects in Observational Network Data
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Jiuyong Li
Debo Cheng
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Wentao Gao
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75
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0
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Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
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Chen Yang
Sunhao Dai
Yupeng Hou
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Jun Xu
Yang Song
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106
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Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
Yang Xie
Ziqi Xu
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105
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Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
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132
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Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
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158
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Interpreting Low-level Vision Models with Causal Effect Maps
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Fanghua Yu
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Zhiyuan You
Chaochao Lu
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318
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Causal Inference with Complex Treatments: A Survey
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140
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PORCA: Root Cause Analysis with Partially Observed Data
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Di Yao
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Lanting Fang
Yongtao Xie
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Peng Han
Jingping Bi
159
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CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration
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CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
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Linxiao Yang
Xingyu Liu
Xinyue Gu
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Wei Chen
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102
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