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"

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Title
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks Ioana Bica James Jordon M. Schaar CML 37 106 0 27 Feb 2020
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models Imke Mayer Julie Josse Félix Raimundo Jean-Philippe Vert CML 36 12 0 25 Feb 2020
Combining Observational and Experimental Datasets Using Shrinkage Estimators Evan T. R. Rosenman Guillaume W. Basse Art B. Owen Mike Baiocchi CML 31 63 0 16 Feb 2020
Learning to rank for uplift modeling Floris Devriendt Tias Guns Wouter Verbeke 36 34 0 14 Feb 2020
A Hierarchy of Limitations in Machine Learning M. Malik 20 55 0 12 Feb 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang Shuang Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 41 33 0 05 Feb 2020
Causal query in observational data with hidden variables Debo Cheng Jiuyong Li Lin Liu Jixue Liu Kui Yu T. Le CML 26 11 0 28 Jan 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 47 100 0 21 Jan 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision Li Ye Yishi Lin Hong Xie John C. S. Lui CML 40 11 0 16 Jan 2020
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium Bart Cockx Michael Lechner Joost Boolens CML 33 108 0 30 Dec 2019
High dimensional precision medicine from patient-derived xenografts N. Rashid Daniel J. Luckett Jingxiang Chen Michael T. Lawson Longshaokan Wang ... Eric B. Laber Yufeng Liu J. Yeh D. Zeng Michael R. Kosorok 11 9 0 13 Dec 2019
Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference Suofei Wu Jan Hannig Thomas C. M. Lee 13 2 0 14 Nov 2019
An introduction to flexible methods for policy evaluation M. Huber CML 40 7 0 01 Oct 2019
Debiased Bayesian inference for average treatment effects Kolyan Ray Botond Szabó CML 15 19 0 26 Sep 2019
Detecting Heterogeneous Treatment Effect with Instrumental Variables Michael Johnson Jiongyi Cao Hyunseung Kang CML 18 7 0 09 Aug 2019
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 37 4 0 08 Jul 2019
A Debiased MDI Feature Importance Measure for Random Forests Xiao Li Yu Wang Sumanta Basu Karl Kumbier Bin Yu 32 82 0 26 Jun 2019
Policy Targeting under Network Interference Davide Viviano 55 34 0 24 Jun 2019
Analyzing CART Jason M. Klusowski 39 6 0 24 Jun 2019
Identify treatment effect patterns for personalised decisions Jiuyong Li Lin Liu Yizhao Han Saisai Ma T. Le Jixue Liu CML 14 1 0 14 Jun 2019
Learning Individual Causal Effects from Networked Observational Data Ruocheng Guo Wenlin Yao Huan Liu CML OOD 27 98 0 08 Jun 2019
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics Weiguang Peng T. Coleman L. Mentch 44 39 0 25 May 2019
Learning When-to-Treat Policies Xinkun Nie Emma Brunskill Stefan Wager CML OffRL 31 90 0 23 May 2019
Experimental Evaluation of Individualized Treatment Rules Kosuke Imai Michael Lingzhi Li 19 39 0 14 May 2019
Scalable and Efficient Hypothesis Testing with Random Forests T. Coleman Wei Peng L. Mentch 44 17 0 16 Apr 2019
Synthetic learner: model-free inference on treatments over time Davide Viviano Jelena Bradic CML 39 19 0 02 Apr 2019
Unbiased Measurement of Feature Importance in Tree-Based Methods Zhengze Zhou Giles Hooker 27 63 0 12 Mar 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 42 45 0 01 Mar 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 35 16 0 14 Feb 2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 39 133 0 03 Feb 2019
Personalized Treatment Selection using Causal Heterogeneity Ye Tu Kinjal Basu Cyrus DiCiccio Jinyun Yan B. Tiwana Padmini Jaikumar S. Chatterjee CML 27 1 0 29 Jan 2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding Muhammad Osama Dave Zachariah Thomas B. Schon 21 8 0 28 Jan 2019
Modified Causal Forests for Estimating Heterogeneous Causal Effects M. Lechner CML 19 49 0 22 Dec 2018
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension Yinqiu He Tiefeng Jiang Jiyang Wen Gongjun Xu 42 11 0 17 Dec 2018
Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors Burim Ramosaj Markus Pauly 39 32 0 15 Dec 2018
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation Zhao Wang A. Culotta CML 6 14 0 12 Nov 2018
Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models Xilei Zhao X. Yan Alan Yu Pascal Van Hentenryck 40 25 0 04 Nov 2018
Removing Hidden Confounding by Experimental Grounding Nathan Kallus A. Puli Uri Shalit CML 27 144 0 27 Oct 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 42 25 0 17 Oct 2018
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 27 91 0 05 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 26 111 0 01 Oct 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 37 254 0 26 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 42 169 0 25 Sep 2018
Efficient Counterfactual Learning from Bandit Feedback Yusuke Narita Shota Yasui Kohei Yata OffRL 26 47 0 10 Sep 2018
Approximation Trees: Statistical Stability in Model Distillation Yichen Zhou Zhengze Zhou Giles Hooker 18 23 0 22 Aug 2018
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms Falco J. Bargagli-Stoffi G. Gnecco CML 4 10 0 13 Aug 2018
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 29 90 0 30 Jul 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data Dimitris Bertsimas Christopher McCord 41 27 0 11 Jul 2018
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution Yichen Zhou Giles Hooker UQCV 44 11 0 26 Jun 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 39 67 0 05 Jun 2018