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Adapting Neural Networks for the Estimation of Treatment Effects

5 June 2019

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Papers citing "Adapting Neural Networks for the Estimation of Treatment Effects"

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Title
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data Hechuan Wen Tong Chen Li Kheng Chai S. Sadiq Kai Zheng Hongzhi Yin CML 87 2 0 15 Sep 2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II Mathias Kraus Stefan Feuerriegel M. Saar-Tsechansky 57 13 0 14 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 94 12 0 09 Aug 2023
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling M. Vowels CML 48 1 0 08 Aug 2023
RCT Rejection Sampling for Causal Estimation Evaluation Katherine A. Keith Sergey Feldman David Jurgens Jonathan Bragg Rohit Bhattacharya CML 77 7 0 27 Jul 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data Wenao Ma Cheng Chen J. Abrigo C. Mak Yuqi Gong Nga Yan Chan Chu Han Zaiyi Liu Qi Dou 115 7 0 24 Jul 2023
Unbiased Scene Graph Generation via Two-stage Causal Modeling Shuzhou Sun Shuaifeng Zhi Qing Liao J. Heikkilä Li Liu CML 89 37 0 11 Jul 2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation Bing Xue A. Said Ziqi Xu Hanyang Liu N. Shah Hanqing Yang Philip R. O. Payne Chenyang Lu 126 5 0 06 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption Hechuan Wen Tong Chen L. K. Chai S. Sadiq Junbin Gao Hongzhi Yin OOD 102 2 0 23 Jun 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar Amit Deshpande Ajay Sharma CML 94 1 0 19 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 80 16 0 01 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 57 12 0 31 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers Parikshit Bansal Amit Sharma CML 81 5 0 26 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David Clifton 79 11 0 25 May 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias Victoria Lin Louis-Philippe Morency Dimitrios Dimitriadis Srinagesh Sharma CML 54 1 0 23 May 2023
Counterfactually Comparing Abstaining Classifiers Yo Joong Choe Aditya Gangrade Aaditya Ramdas 52 1 0 17 May 2023
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation Niki Kiriakidou Christos Diou CML 45 4 0 11 May 2023
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data Shantanu Ghosh Zheng Feng Jiang Bian Kevin R. B. Butler M. Prosperi CML OOD BDL 21 0 0 07 Mar 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 80 9 0 02 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 117 29 0 02 Mar 2023
Learning high-dimensional causal effect Aayush Agarwal Saksham Bassi CML SyDa 49 0 0 01 Mar 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 55 4 0 23 Feb 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 79 15 0 22 Feb 2023
Causal Estimation of Exposure Shifts with Neural Networks: Evaluating the Health Benefits of Stricter Air Quality Standards in the US Mauricio Tec Oladimeji Mudele K. Josey Francesca Dominici CML OOD 43 0 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 105 8 0 02 Feb 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 85 14 0 28 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 86 6 0 26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 56 1 0 16 Jan 2023
Deep Causal Learning for Robotic Intelligence Yongqian Li CML 73 5 0 23 Dec 2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes Robert Hu R. Evans Dino Sejdinovic OOD 61 3 0 09 Dec 2022
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation Abbavaram Gowtham Reddy V. Balasubramanian CML 55 0 0 08 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 47 1 0 01 Nov 2022
Dynamic Survival Transformers for Causal Inference with Electronic Health Records P. Chatha Yixin Wang Zhenke Wu Jeffrey Regier CML 65 1 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 46 14 0 19 Oct 2022
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment Liyuan Xu Arthur Gretton CML BDL 72 8 0 12 Oct 2022
Causal Estimation for Text Data with (Apparent) Overlap Violations Lin Gui Victor Veitch OOD 99 13 0 30 Sep 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 100 39 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 51 12 0 25 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 76 8 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 53 1 0 15 Sep 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 101 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 59 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 55 7 0 05 Sep 2022
An evaluation framework for comparing causal inference models Niki Kiriakidou Christos Diou CML ELM 53 4 0 31 Aug 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 54 4 0 19 Jul 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 64 21 0 19 Jul 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 63 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 71 15 0 04 Jun 2022