Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

14 October 2015

Papers citing "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests"

50 / 285 papers shown

Title
An evaluation framework for comparing causal inference models Niki Kiriakidou Christos Diou CML ELM 30 4 0 31 Aug 2022
Estimating individual treatment effects under unobserved confounding using binary instruments Dennis Frauen Stefan Feuerriegel CML 46 20 0 17 Aug 2022
FACT: High-Dimensional Random Forests Inference Chien-Ming Chi Yingying Fan Jinchi Lv 37 2 0 04 Jul 2022
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work? Susanne Dandl Torsten Hothorn H. Seibold Erik Sverdrup Stefan Wager A. Zeileis CML 52 11 0 21 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 36 2 0 21 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 50 16 0 16 Jun 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 39 52 0 16 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 34 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 47 10 0 05 Jun 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus Miruna Oprescu CML OOD 59 10 0 23 May 2022
Neuroevolutionary Feature Representations for Causal Inference Michael C. Burkhart Gabriel Ruiz CML OOD 36 2 0 21 May 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 45 22 0 20 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 47 0 0 17 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
Towards assessing agricultural land suitability with causal machine learning Georgios Giannarakis Vasileios Sitokonstantinou R. Lorilla C. Kontoes CML 39 20 0 27 Apr 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 40 11 0 14 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 58 129 0 11 Apr 2022
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials Zhixuan Chu S. Rathbun Sheng Li CML 37 10 0 10 Mar 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 24 25 0 02 Mar 2022
Estimating causal effects with optimization-based methods: A review and empirical comparison Martin Cousineau V. Verter Susan Murphy J. Pineau CML 34 9 0 28 Feb 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 30 0 25 Feb 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 53 14 0 22 Feb 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process C. Shi Jin Zhu Ye Shen Shuang Luo Hong Zhu R. Song OffRL 60 30 0 22 Feb 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets C. Shi Runzhe Wan Ge Song Shuang Luo R. Song Hongtu Zhu OffRL 52 6 0 21 Feb 2022
$Random Forest Weighted Local Fr\échet Regression with Random Objects$ Random Forest Weighted Local Fr\échet Regression with Random Objects Rui Qiu Zhou Yu Ruoqing Zhu 57 4 0 10 Feb 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 24 21 0 09 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 35 51 0 07 Feb 2022
Generalized Causal Tree for Uplift Modeling Preetam Nandy Xiufan Yu Wanjun Liu Ye Tu Kinjal Basu S. Chatterjee CML 40 4 0 04 Feb 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 35 30 0 02 Feb 2022
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm Meng Ai Biao Li Heyang Gong Qingwei Yu S. Xue Yuan Zhang Yunzhou Zhang Peng Jiang CML OffRL 19 17 0 29 Jan 2022
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery Aida Rahmattalabi P. Vayanos Kathryn Dullerud Eric Rice 39 20 0 25 Jan 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 30 0 0 20 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 22 23 0 05 Jan 2022
Deep Treatment-Adaptive Network for Causal Inference Qian Li Zhichao Wang Shaowu Liu Gang Li Guandong Xu CML BDL OOD 35 10 0 27 Dec 2021
Multi-treatment Effect Estimation from Biomedical Data Raquel Y. S. Aoki Yizhou Chen M. Ester 23 0 0 14 Dec 2021
Causal Knowledge Guided Societal Event Forecasting Songgaojun Deng Huzefa Rangwala Yue Ning AI4TS 32 2 0 10 Dec 2021
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic Z. Fei Y. Ryeznik O. Sverdlov C. Tan Weng Kee Wong 37 20 0 25 Nov 2021
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling Eustache Diemert Artem Betlei Christophe Renaudin Massih-Reza Amini T. Gregoir Thibaud Rahier CML 38 10 0 19 Nov 2021
Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects Steve Yadlowsky S. Fleming N. Shah Emma Brunskill Stefan Wager 22 63 0 15 Nov 2021
An Online Sequential Test for Qualitative Treatment Effects C. Shi Shuang Luo Hong-Tu Zhu Rui Song 52 3 0 06 Nov 2021
Interpretable Personalized Experimentation Han Wu S. Tan Weiwei Li Mia Garrard Adam Obeng Drew Dimmery Shaun Singh Hanson Wang Daniel R. Jiang E. Bakshy 38 5 0 05 Nov 2021
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game Yuzi He Christopher Tran Julie Jiang Keith Burghardt Emilio Ferrara Elena Zheleva Kristina Lerman 27 10 0 27 Oct 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 35 30 0 26 Oct 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 32 10 0 18 Oct 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community M. Glenski Svitlana Volkova CML AI4CE 50 1 0 15 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 40 14 0 11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 35 3 0 30 Sep 2021
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark Yaobin Ling Pulakesh Upadhyaya Luyao Chen Xiaoqian Jiang Yejin Kim CML 38 19 0 27 Sep 2021
Machine learning reveals how personalized climate communication can both succeed and backfire Totte Harinen Alex Filipowicz Shabnam Hakimi Rumen Iliev M. Klenk Emily S. Sumner AI4CE 39 5 0 10 Sep 2021
Individual causal effects from observational longitudinal studies with time-varying exposures Richard Post Z. Zhan Edwin R. van den Heuvel CML 21 0 0 06 Sep 2021