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Learning Representations for Counterfactual Inference

12 May 2016

Papers citing "Learning Representations for Counterfactual Inference"

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Title
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 143 9 0 02 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 229 12 0 29 Jan 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 166 15 0 28 Jan 2023
Estimating Causal Effects using a Multi-task Deep Ensemble Ziyang Jiang Zhuoran Hou Yi-Ling Liu Yiman Ren Keyu Li David Carlson CML 147 6 0 26 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 121 6 0 26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 105 2 0 16 Jan 2023
Unpacking the "Black Box" of AI in Education Nabeel Gillani R. Eynon Catherine Chiabaut Kelsey Finkel 100 67 0 31 Dec 2022
Deep Causal Learning for Robotic Intelligence Yongqian Li CML 126 6 0 23 Dec 2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective Pengfei Xi Guifeng Wang Zhipeng Hu Yu Xiong Ming‐Fu Gong ... Runze Wu Yu-qiong Ding Tangjie Lv Changjie Fan Xiangnan Feng CML AI4TS AI4CE 65 0 0 17 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Leilei Gan SyDa CML 114 8 0 12 Dec 2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing Hao Zhou Shaoming Li Guibin Jiang Jiaqi Zheng Dong Wang 84 25 0 28 Nov 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 139 26 0 21 Nov 2022
Counterfactual Learning with Multioutput Deep Kernels A. Caron G. Baio I. Manolopoulou BDL CML OffRL 112 2 0 20 Nov 2022
Confounder Balancing for Instrumental Variable Regression with Latent Variable Anpeng Wu Kun Kuang Ruoxuan Xiong Bo Li Leilei Gan CML 127 0 0 18 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 149 12 0 07 Nov 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 90 0 0 02 Nov 2022
Inference and Denoise: Causal Inference-based Neural Speech Enhancement Tsun-An Hsieh Chao-Han Huck Yang Pin-Yu Chen Sabato Marco Siniscalchi Yu Tsao CML 117 2 0 02 Nov 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 93 1 0 01 Nov 2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks Ziyu Zhao Yuqi Bai Kun Kuang Ruoxuan Xiong Leilei Gan CML 134 11 0 25 Oct 2022
Adversarial De-confounding in Individualised Treatment Effects Estimation Vinod Kumar Chauhan Soheila Molaei Marzia Hoque Tania Anshul Thakur T. Zhu David Clifton CML 94 15 0 19 Oct 2022
Deep Counterfactual Estimation with Categorical Background Variables E. Brouwer CML 156 7 0 11 Oct 2022
Transfer Learning for Individual Treatment Effect Estimation Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 187 2 0 01 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 142 45 0 30 Sep 2022
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies M. Tec James G. Scott Corwin M. Zigler CML 92 12 0 25 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 276 9 0 19 Sep 2022
Semi-supervised Batch Learning From Logged Data Gholamali Aminian Armin Behnamnia R. Vega Laura Toni Chengchun Shi Hamid R. Rabiee Omar Rivasplata Miguel R. D. Rodrigues OffRL 104 1 0 15 Sep 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 207 21 0 13 Sep 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 99 3 0 05 Sep 2022
Deep Stable Representation Learning on Electronic Health Records Yingtao Luo Zhaocheng Liu Qiang Liu OOD BDL CML 121 5 0 03 Sep 2022
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects Guanglin Zhou Lina Yao Xiwei Xu Chen Wang Liming Zhu OOD CML BDL 92 2 0 13 Aug 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 142 12 0 09 Aug 2022
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation Kailiang Zhong Fengtong Xiao Yan Ren Yaorong Liang Wenqing Yao Xiaofeng Yang Ling Cen CML 68 22 0 19 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 126 21 0 07 Jul 2022
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty Christopher Tran Elena Zheleva CML 99 4 0 25 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 95 2 0 21 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 136 18 0 16 Jun 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 75 57 0 16 Jun 2022
Adversarial Counterfactual Environment Model Learning Xiong-Hui Chen Yang Yu Zhenghong Zhu Zhihua Yu Zhen-Yu Chen ... Yinan Wu Hongqiu Wu Rongjun Qin Rui Ding Fangsheng Huang CML OffRL 106 13 0 10 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 102 2 0 06 Jun 2022
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara K. Takeda CML 155 17 0 04 Jun 2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization Min Cheng Xinru Liao Quanlian Liu Bin Ma Jian Xu Bo Zheng CML 87 27 0 02 Jun 2022
Feature Selection for Discovering Distributional Treatment Effect Modifiers Yoichi Chikahara M. Yamada H. Kashima CML 179 5 0 01 Jun 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 114 15 0 29 May 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 103 11 0 29 May 2022
An improved neural network model for treatment effect estimation Niki Kiriakidou Christos Diou CML 95 3 0 23 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus Miruna Oprescu OOD CML 186 13 0 23 May 2022
Neuroevolutionary Feature Representations for Causal Inference Michael C. Burkhart Gabriel Ruiz CML OOD 55 2 0 21 May 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes Changchang Yin Ruoqi Liu Jeffrey Caterino Ping Zhang OffRL 135 7 0 19 May 2022
Causal Transformer for Estimating Counterfactual Outcomes Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 195 108 0 14 Apr 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 101 13 0 18 Mar 2022