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[1] Matt Taddy,et al. Heterogeneous Treatment Effects in Digital Experimentation , 2014, 1412.8563.
[2] Uri Shalit,et al. Bounding and Minimizing Counterfactual Error , 2016, ArXiv.
[3] D. Green,et al. Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees , 2012 .
[4] Illtyd Trethowan. Causality , 1938 .
[5] Justin Grimmer,et al. Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods , 2017, Political Analysis.
[6] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[7] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[8] Richard K. Crump,et al. Nonparametric Tests for Treatment Effect Heterogeneity , 2006, The Review of Economics and Statistics.
[9] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[10] A. Banerjee,et al. Thinking Small: A Review of Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty , 2016 .
[11] Stefan Wager,et al. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests , 2015, Journal of the American Statistical Association.
[12] Hansheng Wang,et al. Subgroup Analysis via Recursive Partitioning , 2009, J. Mach. Learn. Res..
[13] Michael S. Bernstein,et al. Designing and deploying online field experiments , 2014, WWW.
[14] P. Lachenbruch,et al. Design Sensitivity: Statistical Power for Experimental Research. , 1989 .
[15] F. Sheikh. Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty , 2017 .
[16] Joaquin Quiñonero Candela,et al. Practical Lessons from Predicting Clicks on Ads at Facebook , 2014, ADKDD'14.
[17] Uri Shalit,et al. Estimating individual treatment effect: generalization bounds and algorithms , 2016, ICML.
[18] M. Meyer,et al. Two Cheers for Corporate Experimentation: The A/B Illusion and the Virtues of Data-Driven Innovation , 2015 .
[19] Anmol Bhasin,et al. From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks , 2015, KDD.
[20] J. M. Taylor,et al. Subgroup identification from randomized clinical trial data , 2011, Statistics in medicine.
[21] Ron Kohavi,et al. Practical guide to controlled experiments on the web: listen to your customers not to the hippo , 2007, KDD '07.
[22] Susan Athey,et al. Recursive partitioning for heterogeneous causal effects , 2015, Proceedings of the National Academy of Sciences.
[23] Joaquin Quiñonero Candela,et al. Counterfactual reasoning and learning systems: the example of computational advertising , 2013, J. Mach. Learn. Res..
[24] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[25] Marc Ratkovic,et al. Estimating treatment effect heterogeneity in randomized program evaluation , 2013, 1305.5682.
[26] James Bennett,et al. The Netflix Prize , 2007 .
[27] Mark W. Lipsey,et al. Design Sensitivity: Statistical Power for Experimental Research. , 1989 .
[28] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[29] R. Lalonde. Evaluating the Econometric Evaluations of Training Programs with Experimental Data , 1984 .
[30] Joshua D. Angrist,et al. Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .
[31] Aiyou Chen,et al. Data enriched linear regression , 2013, 1304.1837.
[32] M. Gail,et al. Testing for qualitative interactions between treatment effects and patient subsets. , 1985, Biometrics.