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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
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation Christopher Bockel-Rickermann Toon Vanderschueren Tim Verdonck Wouter Verbeke CML 82 1 0 12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu Nathan Kallus CML 65 0 0 10 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 82 1 0 06 Jun 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 50 0 0 04 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 100 7 0 04 Jun 2024
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation Ruijing Cui Jianbin Sun Bingyu He Kewei Yang Bingfeng Ge 67 0 0 04 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Yinjun Wu Mayank Keoliya Kan Chen Neelay Velingker Ziyang Li E. Getzen Qi Long Mayur Naik Ravi B. Parikh Eric Wong 101 3 0 02 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing Dugang Liu Xing Tang Yang Qiao Miao Liu Zexu Sun Xiuqiang He Zhong Ming 62 1 0 01 Jun 2024
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck Hao Yang Zexu Sun Hongteng Xu Xu Chen 105 3 0 24 May 2024
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing Bowei He Yunpeng Weng Xing Tang Ziqiang Cui Zexu Sun Liang Chen Xiuqiang He Chen Ma OffRL 48 8 0 24 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 214 3 0 20 May 2024
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System Changshuai Wei Benjamin Zelditch Joyce Chen Andre Assuncao Silva T Ribeiro J. K. Tay Borja Ocejo Elizondo Sathiya Keerthi Selvaraj Aman Gupta Licurgo Benemann De Almeida 52 2 0 17 May 2024
C-Learner: Constrained Learning for Causal Inference T. Cai Yuri Fonseca Kaiwen Hou Hongseok Namkoong CML 79 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 79 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 59 0 0 06 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan David Lynch Alexandros Agapitos Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 87 0 0 30 Apr 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation Roger Pros Jordi Vitrià CML 90 0 0 18 Apr 2024
Causal Effect Estimation Using Random Hyperplane Tessellations Abhishek Dalvi Neil Ashtekar V. Honavar 154 0 0 16 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 72 1 0 31 Mar 2024
Uplift Modeling Under Limited Supervision G. Panagopoulos Daniele Malitesta Fragkiskos D. Malliaros Jun Pang CML 116 0 0 28 Mar 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data Yaxin Fang Faming Liang CML 61 2 0 27 Mar 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs Ruoqi Liu Lingfei Wu Ping Zhang 30 1 0 06 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 70 1 0 05 Mar 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Leilei Gan Kun Kuang 84 0 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 68 2 0 01 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 76 0 0 28 Feb 2024
Efficient adjustment for complex covariates: Gaining efficiency with DOPE Alexander Mangulad Christgau Niels Richard Hansen 85 3 0 20 Feb 2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing Yinqiu Huang Shuli Wang Min Gao Xue Wei Changhao Li Chuan Luo Yinhua Zhu Xiong Xiao Yi Luo 73 3 0 04 Feb 2024
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation Lucile Ter-Minassian Liran Szlak Ehud Karavani Chris Holmes Y. Shimoni 75 0 0 31 Jan 2024
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder Seungyeon Lee Ruoqi Liu Wenyu Song Ping Zhang CML 56 0 0 30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 63 8 0 27 Jan 2024
M $^3$ TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling Zexu Sun Xu Chen 55 3 0 24 Jan 2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification Seungyeon Lee Ruoqi Liu Wenyu Song Lang Li Ping Zhang CML 63 0 0 22 Jan 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data Yuxuan Liu Yining Qi Shuang Wang Zhiming He Wenchao Xu Jialiang Zhu Fan Yang CML 62 3 0 04 Jan 2024
The Causal Impact of Credit Lines on Spending Distributions Yijun Li Cheuk Hang Leung Xiangqian Sun Chaoqun Wang Yiyan Huang Xing Yan Qi Wu DongDong Wang Zhixiang Huang 29 1 0 16 Dec 2023
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 72 2 0 15 Dec 2023
SpaCE: The Spatial Confounding Environment Mauricio Tec A. Trisovic Michelle Audirac Sophie Woodward Jie Kate Hu N. Khoshnevis Francesca Dominici CML 86 3 0 01 Dec 2023
Adversarial Distribution Balancing for Counterfactual Reasoning Stefan Schrod Fabian H. Sinz Michael Altenbuchinger OOD CML 88 1 0 28 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 92 10 0 27 Nov 2023
Causal Inference from Text: Unveiling Interactions between Variables Yuxiang Zhou Yulan He CML 67 4 0 09 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 99 0 0 06 Nov 2023
High Precision Causal Model Evaluation with Conditional Randomization Chao Ma Cheng Zhang CML 49 1 0 03 Nov 2023
Optimal Transport for Treatment Effect Estimation Hao Wang Zhichao Chen Jiajun Fan Haoxuan Li Tianqiao Liu Weiming Liu Quanyu Dai Yichao Wang Zhenhua Dong Ruiming Tang OT CML 82 38 0 27 Oct 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 68 2 0 25 Oct 2023
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 94 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 212 2 0 16 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Guy Van den Broeck CML 56 0 0 09 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 69 4 0 07 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and Attention Jiaqi Zhang Joel Jennings Agrin Hilmkil Nick Pawlowski Cheng Zhang Chao Ma CML 112 14 0 01 Oct 2023
OpportunityFinder: A Framework for Automated Causal Inference Huy Nguyen Prince Grover Devashish Khatwani CML 49 1 0 22 Sep 2023