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
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket TrialsACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 Zhixuan Chu S. Rathbun Sheng Li CML 106 10 0 10 Mar 2022
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World DataSDM (SDM), 2022 Zhixuan Chu S. Rathbun Sheng Li CML OOD 120 15 0 22 Feb 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided MarketsAnnals of Applied Statistics (AOAS), 2022 C. Shi Runzhe Wan Ge Song Shuang Luo R. Song Hongtu Zhu OffRL 178 6 0 21 Feb 2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics M. Vowels S. Akbari Necati Cihan Camgöz Richard Bowden 154 4 0 18 Feb 2022
Evaluation Methods and Measures for Causal Learning AlgorithmsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 180 66 0 07 Feb 2022
Fair ranking: a critical review, challenges, and future directionsConference on Fairness, Accountability and Transparency (FAccT), 2022 Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 164 63 0 29 Jan 2022
A Causal Lens for Controllable Text GenerationNeural Information Processing Systems (NeurIPS), 2022 Zhiting Hu Erran L. Li 158 68 0 22 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 78 6 0 13 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 151 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 123 6 0 04 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 226 28 0 20 Sep 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Yuexiang Xie Fei Sun Yang Deng Yaliang Li Bolin Ding HILM 160 55 0 30 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Yangqiu Song Runze Wu Leilei Gan Lanfen Lin CML 187 42 0 13 Jul 2021
Domain-Class Correlation Decomposition for Generalizable Person Re-IdentificationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Kaiwen Yang Xinmei Tian OOD 140 14 0 29 Jun 2021
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational DataKnowledge Discovery and Data Mining (KDD), 2021 Zhixuan Chu S. Rathbun Sheng Li CML 103 50 0 05 Jun 2021
Improving Weakly-supervised Object Localization via Causal InterventionACM Multimedia (ACM MM), 2021 Feifei Shao Yawei Luo Li Zhang Lu Ye Siliang Tang Yi Yang Jun Xiao WSOL 109 26 0 21 Apr 2021
Robust Orthogonal Machine Learning of Treatment Effects Yiyan Huang Cheuk Hang Leung Qi Wu Xing Yan OOD CML 103 0 0 22 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal DiscoveryACM Computing Surveys (CSUR), 2021 M. Vowels Necati Cihan Camgöz Richard Bowden CML 278 340 0 03 Mar 2021
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal InferenceAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Koh Takeuchi Ryo Nishida Hisashi Kashima Masaki Onishi CML 78 4 0 08 Feb 2021
Socially Responsible AI Algorithms: Issues, Purposes, and ChallengesJournal of Artificial Intelligence Research (JAIR), 2021 Lu Cheng Kush R. Varshney Huan Liu FaML 330 179 0 01 Jan 2021
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 326 96 0 19 Oct 2020
Poincare: Recommending Publication Venues via Treatment Effect Estimation Ryoma Sato M. Yamada H. Kashima CML 107 2 0 19 Oct 2020
Targeted VAE: Variational and Targeted Learning for Causal Inference M. Vowels Necati Cihan Camgöz Richard Bowden BDL OOD CML 176 8 0 28 Sep 2020
Learning Decomposed Representation for Counterfactual Inference Anpeng Wu Kun Kuang Junkun Yuan Bo Li Jianrong Tao Qiang Zhu Yueting Zhuang Leilei Gan CML 120 22 0 12 Jun 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning FrameworkJournal of the American Statistical Association (JASA), 2020 C. Shi Xiaoyu Wang Shuang Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 322 45 0 05 Feb 2020
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 430 309 0 09 Jul 2017