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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 / 181 papers shown
Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
Chenhao Zhai
Chang Meng
Xueliang Wang
Shuchang Liu
Xiaolong Hu
Shisong Tang
Xiaoqiang Feng
Xiu Li
OffRL
336
2
0
24 Nov 2025
CafeMed: Causal Attention Fusion Enhanced Medication Recommendation
Kelin Ren
Chan-Yang Ju
Dong-Ho Lee
CML
208
0
0
18 Nov 2025
Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
Masahiro Tanaka
BDL
CML
568
0
0
07 Nov 2025
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
102
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
167
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
229
0
0
16 Sep 2025
Latent Variable Modeling for Robust Causal Effect Estimation
Tetsuro Morimura
Tatsushi Oka
Yugo Suzuki
Daisuke Moriwaki
CML
200
0
0
27 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
132
2
0
07 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
109
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
202
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
230
2
0
30 Jul 2025
Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation
Hao Guan
D. Bates
Li Zhou
OOD
268
5
0
20 Jun 2025
The WHY in Business Processes: Unification of Causal Process Models
Yuval David
Fabiana Fournier
Lior Limonad
Inna Skarbovsky
164
2
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
383
2
0
26 May 2025
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
351
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
568
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
275
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
237
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
205
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
299
17
0
04 Mar 2025
Unveiling and Causalizing CoT: A Causal Pespective
Jiarun Fu
LiZhong Ding
Hao Li
P. Li
Qiuning Wei
Xu Chen
LRM
438
3
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
278
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
456
0
0
18 Feb 2025
Testing for Causal Fairness
Jiarun Fu
LiZhong Ding
Pengqi Li
Qiuning Wei
Yurong Cheng
Xu Chen
362
0
0
18 Feb 2025
FedGES: A Federated Learning Approach for BN Structure Learning
IFIP Working Conference on Database Semantics (IWDS), 2025
Pablo Torrijos
J. A. Gamez
J. M. Puerta
FedML
454
5
0
03 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor
Pietro Liò
G. Dias
Mohammed Hasanuzzaman
297
3
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
773
5
0
23 Nov 2024
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar
Han Yu
CML
401
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
461
8
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
408
3
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
CML
173
2
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
398
20
0
20 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
M. Vowels
Mathieu Rochat
S. Akbari
CML
GNN
OOD
709
0
0
18 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
324
14
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
412
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
LRM
722
33
0
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
Gonzalo Mateos
CML
237
4
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
300
0
0
09 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Pengfei Shi
Wei Zhong
Xinyu Zhang
Ningtao Wang
Xing Fu
Weiqiang Wang
Yin Jin
CML
BDL
156
1
0
30 Aug 2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
IEEE International Conference on Information Reuse and Integration (IRI), 2024
Chan Hsu
Jun-Ting Wu
Yihuang Kang
CML
143
1
0
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
HAI
223
6
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
329
4
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
283
5
0
21 Aug 2024
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
Knowledge Discovery and Data Mining (KDD), 2024
Chen Yang
Sunhao Dai
Yupeng Hou
Wayne Xin Zhao
Jun Xu
Yang Song
Hengshu Zhu
281
6
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
225
1
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
208
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
203
5
0
03 Aug 2024
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
International Conference on Information and Knowledge Management (CIKM), 2024
Zhixuan Chu
Hui Ding
Guang Zeng
Shiyu Wang
Yiming Li
CML
285
3
0
29 Jul 2024
Interpreting Low-level Vision Models with Causal Effect Maps
IEEE 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
625
10
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
206
4
0
19 Jul 2024
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