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We study the problem of learning personalized decision policies from observational data while accounting for possible unobserved confounding.
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Mathematical foundations of infinite-dimensional statistical models , volume 40
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Performance guarantees for individualized treatment rules
M. Qian and S. A. Murphy · 2011
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Interval estimation of population means under unknown but bounded probabilities of sample selection
P. Aronow and D. Lee · 2012
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Minimax regret treatment choice with limited validity of experiments or with covariates
J. Stoye · 2012
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A distributional approach for causal inference using propensity scores
Z. Tan · 2012
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Calibrating sensitivity analyses to observed covariates in observational studies
J. Y. Hsu and D. S. Small · 2013
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The women’s health initiative hormone therapy trials: Update and overview of health outcomes during the intervention and post-stopping phases, Oct 2013
J. E. Manson, R. T. Chlebowski, M. L. Stefanick, A. K. Aragaki, J. E. Rossouw, R. L. Prentice, G. Anderson, B. V. Howard, C. A. Thomson, A. Z. LaCroix, J. Wactawski-Wende, R. D. Jackson, M. Limacher, K. L. Margolis, S. Wassertheil-Smoller, S. A. Beresford, J. A. Cauley, C. B. Eaton, M. Gass, J. Hsia, K. C. Johnson, C. Kooperberg, L. H. Kuller, C. E. Lewis, S. Liu, L. W. Martin, J. K. Ockene, M. J. O’Sullivan, L. Powell, M. S. Simon, L. Van Horn, M. Z. Vitolins, and R. B. Wallace · 2013
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Safe policy improvement by minimizing robust baseline regret
M. Petrik, M. Ghavamzadeh, and Y. Chow · 2016
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Optimal classification trees
D. Bertsimas and J. Dunn · 2017
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An extended sensitivity analysis for heterogeneous unmeasured confounding
C. Fogarty and R. Hasegawa · 2017
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Sensitivity analysis for matched pair analysis of binary data: From worst case to average case analysis
R. Hasegawa and D. Small · 2017
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Meta-learners for estimating heterogeneous treatment effects using machine learning
S. Künzel, J. Sekhon, P. Bickel, and B. Yu · 2017
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Learning objectives for treatment effect estimation
X. Nie and S. Wager · 2017
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Estimating individual treatment effect: generalization bounds and algorithms
U. Shalit, F. D. Johansson, and D. Sontag · 2017
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Optimal and adaptive off-policy evaluation in contextual bandits
Y.-X. Wang, A. Agarwal, and M. Dudik · 2017
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Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Q. Zhao, D. S. Small, and B. B. Bhattacharya · 2017
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Policy evaluation and optimization with continuous treatments
N. Kallus and A. Zhou · 2018
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Identification of treatment effects under conditional partial independence
M. Masten and A. Poirier · 2018
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Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
L. W. Miratrix, S. Wager, and J. R. Zubizarreta · 2018
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High-dimensional probability: An introduction with applications in data science , volume 47
R. Vershynin · 2018
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High-dimensional statistics: A non-asymptotic viewpoint , volume 48
M. J. Wainwright · 2019
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