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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
Adjustment for Confounding using Pre-Trained Representations Rickmer Schulte David Rügamer Thomas Nagler CML BDL 17 0 0 17 Jun 2025
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects Zhongyuan Liang L. Laan Ahmed Alaa 14 0 0 16 Jun 2025
Conditional Average Treatment Effect Estimation Under Hidden Confounders Ahmed Aloui Juncheng Dong Ali Hasan Vahid Tarokh CML 7 0 0 14 Jun 2025
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh Hamidreza Kamkari Valentin Thomas Benson Li Junwei Ma Jesse C. Cresswell Rahul G. Krishnan CML 10 0 0 09 Jun 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization Undral Byambadalai Tomu Hirata Tatsushi Oka Shota Yasui 34 0 0 06 Jun 2025
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation Xiaohan Wang Yu Zhang Guibin Jiang Bing Cheng Wei Lin 37 0 0 01 Jun 2025
Doubly Robust Alignment for Large Language Models Erhan Xu Kai Ye Hongyi Zhou Luhan Zhu Francesco Quinzan Chengchun Shi 24 0 0 01 Jun 2025
A Distributionally-Robust Framework for Nuisance in Causal Effect Estimation Akira Tanimoto 49 0 0 23 May 2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model Xingyu Li Qing Liu Tony Jiang Hong Amy Xia Brian P. Hobbs Peng Wei 42 0 0 23 May 2025
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine Prateek Jaiswal Esmaeil Keyvanshokooh Junyu Cao 39 0 0 22 May 2025
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence Winston Chen Trenton Chang Jenna Wiens CML 68 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 86 0 0 08 May 2025
MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability Wenxin Chen Weishen Pan Kyra Gan Fei Wang CML 54 0 0 29 Apr 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 411 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kai Zhang 74 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 Roger Zimmermann Lijun Sun Roger Zimmermann Jinhua Zhao AI4CE 384 2 0 15 Apr 2025
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects Juhua Chen Karson shi Jialing He North Chen Kele Jiang CML 70 0 0 02 Apr 2025
Treatment response as a latent variable Christopher Tosh Boyuan Zhang Wesley Tansey CML 93 0 0 12 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo Kai Zhang 93 0 0 10 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 126 0 0 07 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 128 2 0 06 Feb 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies Qiao Liu W. Wong CML 144 0 0 03 Jan 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 53 0 0 31 Dec 2024
Estimating the treatment effect over time under general interference through deep learner integrated TMLE Suhan Guo Furao Shen Ni Li CML 156 0 0 06 Dec 2024
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation Trenton Chang Lindsay Warrenburg Sae-Hwan Park Ravi B. Parikh Maggie Makar Jenna Wiens 125 2 0 02 Dec 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 70 0 0 27 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 116 0 0 18 Oct 2024
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 183 118 0 11 Oct 2024
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios? Sherly Alfonso-Sánchez Kristina P. Sendova Cristián Bravo CML 41 0 0 07 Oct 2024
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification Michael Vollenweider Manuel Schürch Chiara Rohrer Gabriele Gut Michael Krauthammer Andreas Wicki CML 54 0 0 01 Oct 2024
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments Kosuke Imai Kentaro Nakamura CML 106 6 0 01 Oct 2024
Ads Supply Personalization via Doubly Robust Learning Wei Shi Chen Fu Qi Xu Sanjian Chen Jizhe Zhang Qinqin Zhu Zhigang Hua Shuang Yang OffRL 66 1 0 29 Sep 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 158 0 0 29 Sep 2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference Oscar Clivio Avi Feller Chris Holmes CML OOD 72 3 0 24 Sep 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Henri Arno Paloma Rabaey Thomas Demeester CML 214 0 0 23 Sep 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 176 3 0 15 Sep 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 73 0 0 06 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning Pengfei Shi Wei Zhong Xinyu Zhang Ningtao Wang Xing Fu Weiqiang Wang Yin Jin CML BDL 53 0 0 30 Aug 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth Yuxiang Wei Zhaoxin Qiu Yingjie Li Yuke Sun Xiaoling Li OffRL 66 0 0 23 Aug 2024
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling Zexu Sun Hao Yang Dugang Liu Yunpeng Weng Xing Tang Xiuqiang He OffRL 46 2 0 21 Aug 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 162 0 0 06 Aug 2024
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks Zhe Yu Chi Xia Shaosheng Cao Lin Zhou 32 0 0 04 Aug 2024
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting Zhixuan Chu Hui Ding Guang Zeng Shiyu Wang Yiming Li CML 69 1 0 29 Jul 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai Tatsushi Oka Shota Yasui CML 70 3 0 22 Jul 2024
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction Shuang Li Ziyuan Pu Nan Zhang Duxin Chen Lu Dong Daniel J. Graham Yinhai Wang 112 0 0 19 Jul 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 86 1 0 19 Jul 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization Hao Zhou Rongxiao Huang Shaoming Li Guibin Jiang Jiaqi Zheng Bing Cheng Wei Lin 65 4 0 18 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 81 0 0 01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 90 1 0 01 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 90 0 0 27 Jun 2024