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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A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Jordan Meadows Marco Valentino Damien Teney André Freitas 150 11 0 21 May 2023
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Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023 Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 289 24 0 03 Apr 2023
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATRIEEE Geoscience and Remote Sensing Letters (GRSL), 2023 Wei-Jang Li Wei Yang Tianpeng Liu Wenpeng Zhang Rahul Gupta 139 29 0 03 Apr 2023
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment Nathan McJames Andrew C. Parnell Yong Chen Goh A. O’Shea CML 61 6 0 08 Mar 2023
Continual Causal Inference with Incremental Observational DataIEEE International Conference on Data Engineering (ICDE), 2023 Zhixuan Chu Ruopeng Li S. Rathbun Sheng Li CML 108 17 0 03 Mar 2023
The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 170 9 0 02 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 133 5 0 01 Mar 2023
Knowledge Graph Completion with Counterfactual AugmentationThe Web Conference (WWW), 2023 Heng Chang Jie Cai Jia Li 112 28 0 25 Feb 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal InferenceInternational Conference on Machine Learning and Applications (ICMLA), 2023 Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 232 4 0 22 Feb 2023
A Survey on Causal Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 242 43 0 10 Feb 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep ModelsACM Computing Surveys (ACM Comput. Surv.), 2023 Zehua Wang Dingkang Yang Yan Wang Jing Liu Jun Liu Peng Sun Yang Liu Liang Song 253 127 0 10 Feb 2023
Generative Diffusion Models on Graphs: Methods and ApplicationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Shucheng Zhou Qing Li MedIm DiffM 234 82 0 06 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 171 9 0 02 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 226 13 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 261 13 0 29 Jan 2023
Continual Causal Effect Estimation: Challenges and Opportunities Zhixuan Chu Sheng Li CML 147 0 0 03 Jan 2023
Deep Causal Learning for Robotic IntelligenceFrontiers in Neurorobotics (Front. Neurorobot.), 2022 Yongqian Li CML 150 7 0 23 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 162 12 0 13 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2022 Anpeng Wu Kun Kuang Ruoxuan Xiong Leilei Gan SyDa CML 154 11 0 12 Dec 2022
Causal Inference via Style Transfer for Out-of-distribution GeneralisationKnowledge Discovery and Data Mining (KDD), 2022 Toan Nguyen Kien Do D. Nguyen Bao Duong T. Nguyen CML OODD OOD 117 14 0 06 Dec 2022
Causal Inference with Conditional Instruments using Deep Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu T. Le CML 85 19 0 29 Nov 2022
Applications of statistical causal inference in software engineeringInformation and Software Technology (IST), 2022 Julien Siebert CML 222 38 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 174 5 0 19 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 197 14 0 07 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 180 0 0 28 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Sujian Li Yajuan Lyu 177 5 0 22 Oct 2022
Causal Inference for De-biasing Motion Estimation from Robotic Observational DataIEEE International Conference on Robotics and Automation (ICRA), 2022 Junhong Xu Kai-Li Yin Jason M. Gregory Lantao Liu CML 125 4 0 17 Oct 2022
Fair Effect Attribution in Parallel Online ExperimentsThe Web Conference (WWW), 2022 Alexander K. Buchholz Vito Bellini Giuseppe Di Benedetto Yannik Stein M. Ruffini Fabian Moerchen 172 1 0 15 Oct 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsACM Transactions on Software Engineering and Methodology (TOSEM), 2022 Simin Chen Cong Liu Mirazul Haque Wei Yang 147 29 0 07 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 134 7 0 06 Oct 2022
Incorporating Causal Analysis into Diversified and Logical Response Generation Jiayi Liu Wei Wei Zhixuan Chu Xing Gao Ji Zhang T. Yan Yulin Kang CML 173 4 0 20 Sep 2022
A Survey of Deep Causal Models and Their Industrial ApplicationsArtificial Intelligence Review (Artif Intell Rev), 2022 Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 324 12 0 19 Sep 2022
Dual Instrumental Method for Confounded Kernelized Bandits Xueping Gong Jiheng Zhang 148 1 0 07 Sep 2022
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality InformationPacific Rim International Conference on Artificial Intelligence (PRICAI), 2022 Yiyan Huang Cheuk Hang Leung Shumin Ma Qi Wu DongDong Wang Zhixiang Huang OOD CML 115 3 0 05 Sep 2022
Robust Causal Learning for the Estimation of Average Treatment EffectsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Shumin Ma Zhiri Yuan DongDong Wang Zhixiang Huang OOD CML 116 8 0 05 Sep 2022
Hierarchical Capsule Prediction Network for Marketing Campaigns EffectInternational Conference on Information and Knowledge Management (CIKM), 2022 Zhixuan Chu Hui Ding Guang Zeng Yuchen Huang T. Yan Yulin Kang Sheng Li 124 8 0 22 Aug 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A SurveyACM Computing Surveys (ACM CSUR), 2022 Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 192 41 0 20 Aug 2022
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H. Shteingart Gerben Oostra Ohad Levinkron Naama Parush G. Shabat Daniel Aronovich 122 0 0 21 Jun 2022
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionKnowledge Discovery and Data Mining (KDD), 2022 Mingjie Li Zeyan Li Kanglin Yin Xiaohui Nie Wenchi Zhang Kaixin Sui Dan Pei 83 83 0 13 Jun 2022
A Review of Causality for Learning Algorithms in Medical Image AnalysisMachine Learning for Biomedical Imaging (MLBI), 2022 Athanasios Vlontzos Daniel Rueckert Bernhard Kainz OOD 198 22 0 11 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social ScientistsPsychological methods (Psychol Methods), 2022 M. Vowels CML 159 2 0 10 Jun 2022
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference ApproachTransportation Science (Transp. Sci.), 2022 Xiaohui Liu Sean Qian Hock-Hai Teo Weichao Ma 126 17 0 05 Jun 2022
Prescriptive maintenance with causal machine learning Toon Vanderschueren R. Boute Tim Verdonck Bart Baesens Wouter Verbeke CML 146 2 0 03 Jun 2022
Partial Identification of Dose Responses with Hidden ConfoundersConference on Uncertainty in Artificial Intelligence (UAI), 2022 Myrl G. Marmarelis E. Haddad Andrew Jesson N. Jahanshad Aram Galstyan Greg Ver Steeg CML 181 9 0 24 Apr 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical GuaranteesNeural Information Processing Systems (NeurIPS), 2022 Wenying Deng Beau Coker Rajarshi Mukherjee J. Liu B. Coull 121 4 0 15 Apr 2022
Undersmoothing Causal Estimators with Generative TreesIEEE Access (IEEE Access), 2022 Damian Machlanski Spyridon Samothrakis Paul Clarke CML 162 1 0 16 Mar 2022