Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning

12 June 2017

Papers citing "Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning"

50 / 140 papers shown

Title
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection Jing Ma Chen Chen A. Vullikanti Ritwick Mishra Gregory R. Madden Daniel Borrajo Jundong Li CML 33 4 0 17 Jul 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations Hammaad Adam Fan Yin Huibin Mary Hu Neil A. Tenenholtz Lorin Crawford Lester W. Mackey Allison Koenecke 27 1 0 20 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 31 7 0 06 Jun 2023
Learning Prescriptive ReLU Networks Wei-Ju Sun Asterios Tsiourvas 21 2 0 01 Jun 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
Linking a predictive model to causal effect estimation Jiuyong Li Lin Liu Ziqi Xu Ha Xuan Tran T. Le Jixue Liu CML 31 0 0 10 Apr 2023
Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics Marco Morucci Cynthia Rudin A. Volfovsky CML FedML 14 1 0 03 Apr 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 205 30 0 09 Mar 2023
Scalable End-to-End ML Platforms: from AutoML to Self-serve I. Markov P. Apostolopoulos Mia Garrard Tianyu Qie Yin Huang ... Anika Li Cesar Cardoso George Han Ryan Maghsoudian Norm Zhou LRM 26 2 0 27 Feb 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 29 11 0 27 Feb 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
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 38 3 0 22 Feb 2023
Confidence and Uncertainty Assessment for Distributional Random Forests Jeffrey Näf Corinne Emmenegger Peter Buhlmann N. Meinshausen 38 3 0 11 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya B. Kveton A. Rangi OffRL 61 0 0 01 Feb 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions Zeshan Hussain M. Shih Michael Oberst Ilker Demirel D. Sontag 34 8 0 30 Jan 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
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 23 19 0 01 Jan 2023
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 26 8 0 07 Dec 2022
Applications of statistical causal inference in software engineering Julien Siebert CML 30 32 0 21 Nov 2022
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment Théo Verhelst Denis Mercier Jeevan Shrestha Gianluca Bontempi CML 14 2 0 14 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference Ilias Tsoumas Georgios Giannarakis Vasileios Sitokonstantinou Alkiviadis Koukos D. Loka Nikolaos S. Bartsotas C. Kontoes Ioannis Athanasiadis 24 2 0 06 Nov 2022
A Double Machine Learning Trend Model for Citizen Science Data Daniel Fink A. Johnston Matthew Strimas‐Mackey T. Auer W. Hochachka ... Lauren Oldham Jaromczyk O. Robinson Christopher Wood S. Kelling A. Rodewald 26 15 0 27 Oct 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 38 20 0 08 Oct 2022
Generalized Kernel Regularized Least Squares Qing Chang Max Goplerud 27 5 0 28 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 83 35 0 28 Sep 2022
An evaluation framework for comparing causal inference models Niki Kiriakidou Christos Diou CML ELM 19 4 0 31 Aug 2022
Device-Cloud Collaborative Recommendation via Meta Controller Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 30 17 0 07 Jul 2022
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work? Susanne Dandl Torsten Hothorn H. Seibold Erik Sverdrup Stefan Wager A. Zeileis CML 42 11 0 21 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 24 16 0 16 Jun 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 34 20 0 13 Jun 2022
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes Leon Yao Caroline Lo Israel Nir S. Tan Ariel Evnine Adam Lerer A. Peysakhovich CML 29 6 0 10 Jun 2022
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach Xiaohui Liu Sean Qian Hock-Hai Teo Weichao Ma 42 10 0 05 Jun 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus M. Oprescu CML OOD 35 10 0 23 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 50 110 0 23 May 2022
Neuroevolutionary Feature Representations for Causal Inference Michael C. Burkhart Gabriel Ruiz CML OOD 25 2 0 21 May 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 35 22 0 20 May 2022
Causal Inference from Small High-dimensional Datasets Raquel Y. S. Aoki Martin Ester CML 27 4 0 19 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 28 0 0 17 May 2022
Towards assessing agricultural land suitability with causal machine learning Georgios Giannarakis Vasileios Sitokonstantinou R. Lorilla C. Kontoes CML 34 20 0 27 Apr 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 26 26 0 21 Apr 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 19 1 0 30 Mar 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace Shu Wan Chen Zheng Zhonggen Sun Mengfan Xu Xiaoqing Yang Hong-Tu Zhu Jiecheng Guo 31 7 0 21 Mar 2022
Estimating the average causal effect of intervention in continuous variables using machine learning Yoshiaki Kitazawa CML 13 1 0 08 Mar 2022
Estimating causal effects with optimization-based methods: A review and empirical comparison Martin Cousineau V. Verter S. Murphy J. Pineau CML 24 9 0 28 Feb 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 25 13 0 22 Feb 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 19 20 0 09 Feb 2022
Generalized Causal Tree for Uplift Modeling Preetam Nandy Xiufan Yu Wanjun Liu Ye Tu Kinjal Basu S. Chatterjee CML 29 3 0 04 Feb 2022