A Survey on Causal Inference

5 February 2020

Jing Gao

Aidong Zhang

CML

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Title
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kaipeng Zhang 31 0 0 26 Apr 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 51 0 0 18 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data Sheresh Zahoor Pietro Liò G. Dias Mohammed Hasanuzzaman 44 0 0 28 Jan 2025
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency Kangsheng Wang Xiao Zhang Zizheng Guo Tianyu Hu Huimin Ma LRM 48 7 0 20 Sep 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 112 8 0 15 Sep 2024
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 50 2 0 29 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 39 0 0 01 Jul 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 42 0 0 02 May 2024
Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration Hans Jarett J. Ong Brian Godwin S. Lim Renzo Roel P. Tan Kazushi Ikeda CML 46 0 0 18 Apr 2024
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Ling Liang Haizhao Yang 14 1 0 23 Jan 2024
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 18 2 0 28 Nov 2023
Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension Tongquan Zhou Yao Zhang Siyi Cao Yulu Li Tao Wang AI4MH LRM 35 2 0 17 Nov 2023
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin 49 6 0 11 Oct 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models R. Maier A. Schlattl Thomas Guess J. Mottok AI4CE 29 1 0 02 Aug 2023
ICCPS: Impact discovery using causal inference for cyber attacks in CPSs R. Maiti Sridhar Adepu Emil C. Lupu 24 1 0 26 Jul 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations Hammaad Adam Fan Yin Huibin Mary Hu Neil A. Tenenholtz Lorin Crawford Lester W. Mackey Allison Koenecke 22 1 0 20 Jun 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR Wei-Jang Li Wei Yang Li Liu Wenpeng Zhang Yong-Jin Liu 24 24 0 03 Apr 2023
Continual Causal Inference with Incremental Observational Data Zhixuan Chu Ruopeng Li S. Rathbun Sheng Li CML 43 14 0 03 Mar 2023
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Z. Kong Kwan-Liu Ma AAML FAtt 35 2 0 01 Mar 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 38 3 0 22 Feb 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models Yang Liu Dingkang Yang Yan Wang Jing Liu Jun Liu Azzedine Boukerche Peng Sun Liang Song 33 80 0 10 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 29 12 0 01 Feb 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 57 11 0 29 Jan 2023
Deep Causal Learning for Robotic Intelligence Yong Li CML 37 5 0 23 Dec 2022
Applications of statistical causal inference in software engineering Julien Siebert CML 30 31 0 21 Nov 2022
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation M. D. Cattaneo Jason M. Klusowski Peter M. Tian 23 4 0 19 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 26 0 0 28 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Sujian Li Yajuan Lyu 39 3 0 22 Oct 2022
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data Junhong Xu Kai-Li Yin Jason M. Gregory Lantao Liu CML 21 3 0 17 Oct 2022
Fair Effect Attribution in Parallel Online Experiments Alexander K. Buchholz Vito Bellini Giuseppe Di Benedetto Yannik Stein M. Ruffini Fabian Moerchen 26 1 0 15 Oct 2022
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training Junyi Chai Reid Pryzant Victor Ye Dong Konstantin Golobokov Chenguang Zhu Yi Liu 37 5 0 06 Oct 2022
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information Yiyan Huang Cheuk Hang Leung Shumin Ma Qi Wu DongDong Wang Zhixiang Huang OOD CML 40 3 0 05 Sep 2022
Robust Causal Learning for the Estimation of Average Treatment Effects Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Shumin Ma Zhiri Yuan DongDong Wang Zhixiang Huang OOD CML 28 7 0 05 Sep 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H. Shteingart Gerben Oostra Ohad Levinkron Naama Parush G. Shabat Daniel Aronovich 21 0 0 21 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 32 2 0 10 Jun 2022
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach Xiaohui Liu Sean Qian Hock-Hai Teo Weichao Ma 39 10 0 05 Jun 2022
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials Zhixuan Chu S. Rathbun Sheng Li CML 24 10 0 10 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 51 0 07 Feb 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 45 59 0 22 Jan 2022
Causal Discovery from Sparse Time-Series Data Using Echo State Network Haonan Chen B. Chang Mohamed A. Naiel1 Georges Younes Steven Wardell Stan Kleinikkink J. S. Z. U. O. Waterloo CML BDL AI4TS 24 1 0 09 Jan 2022
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication Lu Cheng Ruocheng Guo K. S. Candan Huan Liu CML 29 6 0 04 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation Yuexiang Xie Fei Sun Yang Deng Yaliang Li Bolin Ding HILM 23 53 0 30 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Yangqiu Song Runze Wu Fei Wu Lanfen Lin CML 42 38 0 13 Jul 2021
Improving Weakly-supervised Object Localization via Causal Intervention Feifei Shao Yawei Luo Li Zhang Lu Ye Siliang Tang Yi Yang Jun Xiao WSOL 27 25 0 21 Apr 2021
Robust Orthogonal Machine Learning of Treatment Effects Yiyan Huang Cheuk Hang Leung Qi Wu Xing Yan OOD CML 16 0 0 22 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021