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Recursive Partitioning for Heterogeneous Causal Effects

5 April 2015

Papers citing "Recursive Partitioning for Heterogeneous Causal Effects"

50 / 188 papers shown

Title
Stable discovery of interpretable subgroups via calibration in causal studies Raaz Dwivedi Yan Shuo Tan Briton Park Mian Wei Kevin Horgan D. Madigan Bin Yu CML 54 30 0 23 Aug 2020
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting Thibaud Rahier Amélie Héliou Matthieu Martin Christophe Renaudin Eustache Diemert 24 1 0 07 Aug 2020
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference Hang Miao Kui Zhao Zhun Wang Linbo Jiang Quanhui Jia Yanming Fang Quan Yu 26 1 0 10 Jul 2020
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing Max Biggs Wei-Ju Sun M. Ettl 75 35 0 03 Jul 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 117 19 0 26 Jun 2020
Design and Evaluation of Personalized Free Trials Hema Yoganarasimhan E. Barzegary Abhishek Pani 47 12 0 24 Jun 2020
70 years of machine learning in geoscience in review Jesper Sören Dramsch VLM AI4CE 97 161 0 16 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 196 328 0 29 Apr 2020
Machine learning for causal inference: on the use of cross-fit estimators P. Zivich A. Breskin CML OOD 66 65 0 21 Apr 2020
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects Will Y. Zou S. Shyam Michael Mui Mingshi Wang Jan Pedersen Zoubin Ghahramani CML 53 2 0 21 Apr 2020
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing Will Y. Zou Shuyang Du James Lee Jan Pedersen CML 26 7 0 21 Apr 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks Ioana Bica James Jordon M. Schaar CML 90 106 0 27 Feb 2020
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects Zijun Gao Yanjun Han CML 87 16 0 15 Feb 2020
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 123 516 0 05 Feb 2020
Treatment effect estimation with disentangled latent factors Weijia Zhang Lin Liu Jiuyong Li CML 99 89 0 29 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 128 100 0 21 Jan 2020
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium Bart Cockx Michael Lechner Joost Boolens CML 71 110 0 30 Dec 2019
Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data Steve Yadlowsky Fabio Pellegrini F. Lionetto S. Braune L. Tian CML 16 16 0 15 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 41 9 0 13 Dec 2019
Response Transformation and Profit Decomposition for Revenue Uplift Modeling R. M. Gubela Stefan Lessmann S. Jaroszewicz OffRL 62 51 0 20 Nov 2019
Optimal Experimental Design for Staggered Rollouts Ruoxuan Xiong Susan Athey Mohsen Bayati Guido Imbens 65 39 0 09 Nov 2019
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach Dimitris Bertsimas Agni Orfanoudaki R. Weiner 65 41 0 18 Oct 2019
An introduction to flexible methods for policy evaluation M. Huber CML 67 7 0 01 Oct 2019
Affordable Uplift: Supervised Randomization in Controlled Experiments Johannes Haupt D. Jacob R. M. Gubela Stefan Lessmann 92 5 0 01 Oct 2019
Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors Lev V. Utkin M. V. Kots V. Chukanov CML 27 1 0 09 Sep 2019
Uplift Modeling for Multiple Treatments with Cost Optimization Zhenyu Zhao Totte Harinen 40 49 0 14 Aug 2019
Detecting Heterogeneous Treatment Effect with Instrumental Variables Michael Johnson Jiongyi Cao Hyunseung Kang CML 52 7 0 09 Aug 2019
Policy Targeting under Network Interference Davide Viviano 172 34 0 24 Jun 2019
Identify treatment effect patterns for personalised decisions Jiuyong Li Lin Liu Yizhao Han Saisai Ma T. Le Jixue Liu CML 32 1 0 14 Jun 2019
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach Falco J. Bargagli-Stoffi Kristof De-Witte G. Gnecco 90 15 0 29 May 2019
Learning When-to-Treat Policies Xinkun Nie Emma Brunskill Stefan Wager CML OffRL 82 92 0 23 May 2019
Experimental Evaluation of Individualized Treatment Rules Kosuke Imai Michael Lingzhi Li 65 39 0 14 May 2019
Synthetic learner: model-free inference on treatments over time Davide Viviano Jelena Bradic CML 92 20 0 02 Apr 2019
Machine Learning Methods Economists Should Know About Susan Athey Guido Imbens 98 685 0 24 Mar 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 76 46 0 01 Mar 2019
Machine learning for subgroup discovery under treatment effect Aleksey Buzmakov CML 16 1 0 27 Feb 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 192 16 0 14 Feb 2019
Weighted Tensor Completion for Time-Series Causal Inference Debmalya Mandal David C. Parkes 19 2 0 12 Feb 2019
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data J. Killian Bryan Wilder Amit Sharma Daksha Shah Vinod Choudhary B. Dilkina Milind Tambe 61 58 0 05 Feb 2019
Learning Triggers for Heterogeneous Treatment Effects Christopher Tran Elena Zheleva CML 27 25 0 31 Jan 2019
Learning Interpretable Models with Causal Guarantees Carolyn Kim Osbert Bastani FaML OOD CML 75 17 0 24 Jan 2019
Modified Causal Forests for Estimating Heterogeneous Causal Effects M. Lechner CML 40 49 0 22 Dec 2018
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 88 94 0 05 Oct 2018
Subgroup Identification Using the personalized Package J. Huling Menggang Yu CML 45 22 0 21 Sep 2018
Online Evaluation for Effective Web Service Development R. Budylin Alexey Drutsa Gleb Gusev P. Serdyukov I. Yashkov OnRL 27 4 0 03 Sep 2018
Transfer Learning for Estimating Causal Effects using Neural Networks Sören R. Künzel Bradly C. Stadie N. Vemuri V. Ramakrishnan Jasjeet Sekhon Pieter Abbeel CML 49 32 0 23 Aug 2018
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms Falco J. Bargagli-Stoffi G. Gnecco CML 39 10 0 13 Aug 2018
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 157 92 0 30 Jul 2018
Improving pairwise comparison models using Empirical Bayes shrinkage Stephen Ragain A. Peysakhovich J. Ugander 48 6 0 24 Jul 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 97 67 0 05 Jun 2018