Adapting Neural Networks for the Estimation of Treatment Effects

5 June 2019

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

50 / 69 papers shown

Title
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence Winston Chen Trenton Chang Jenna Wiens CML 43 0 0 08 May 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 58 0 0 08 May 2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 149 0 0 29 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
Reimagining Urban Science: Scaling Causal Inference with Large Language Models Yutong Xia Ao Qu Yunhan Zheng Yihong Tang Dingyi Zhuang ... Cathy Wu R. Zimmermann Lijun Sun Roger Zimmermann Jinhua Zhao AI4CE 93 0 0 15 Apr 2025
Treatment response as a latent variable Christopher Tosh Boyuan Zhang Wesley Tansey CML 66 0 0 12 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data Seungyeon Lee Ruoqi Liu Feixiong Cheng Ping Zhang 23 0 0 31 Dec 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 36 0 0 29 Sep 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 83 1 0 15 Sep 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 45 0 0 06 Aug 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 32 0 0 04 Jun 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 50 2 0 20 May 2024
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statistics T. Cai Yuri Fonseca Kaiwen Hou Hongseok Namkoong CML 25 1 0 15 May 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 44 7 0 06 May 2024
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation Demetrios Papakostas Andrew Herren P. R. Hahn Francisco Castillo CML BDL 29 0 0 06 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 46 0 0 30 Apr 2024
Causal Effect Estimation Using Random Hyperplane Tessellations Abhishek Dalvi Neil Ashtekar V. Honavar 48 0 0 16 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 31 1 0 31 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 39 1 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 40 2 0 01 Mar 2024
M $^3$ TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Zexu Sun Xu Chen 27 3 0 24 Jan 2024
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 30 2 0 15 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 42 4 0 25 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 71 2 0 16 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Mathias Niepert CML 13 0 0 09 Oct 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
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 29 3 0 23 Feb 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 28 4 0 26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 30 1 0 16 Jan 2023
Deep Causal Learning for Robotic Intelligence Yong Li CML 37 5 0 23 Dec 2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes Robert Hu R. Evans Dino Sejdinovic OOD 33 3 0 09 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Dynamic Survival Transformers for Causal Inference with Electronic Health Records P. Chatha Yixin Wang Zhenke Wu Jeffrey Regier CML 28 1 0 25 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 43 32 0 30 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 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
An evaluation framework for comparing causal inference models Niki Kiriakidou Christos Diou CML ELM 19 4 0 31 Aug 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 18 11 0 29 May 2022
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders S. Jun S. Lee 37 1 0 27 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus M. Oprescu CML OOD 35 10 0 23 May 2022
An improved neural network model for treatment effect estimation Niki Kiriakidou Christos Diou CML 51 3 0 23 May 2022
Causal Inference from Small High-dimensional Datasets Raquel Y. S. Aoki Martin Ester CML 24 4 0 19 May 2022
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions Uichin Lee Gyuwon Jung Eun-Yeol Ma Jinsan Kim Heepyung Kim Jumabek Alikhanov Youngtae Noh Heeyoung Kim 21 20 0 04 May 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 23 26 0 21 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 16 11 0 18 Mar 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 19 25 0 02 Mar 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 31 19 0 22 Feb 2022