Efficient Policy Learning, 2017. ,
Estimating Individualized Treatment Rules Using Outcome Weighted Learning, Journal of the American Statistical Association, vol.18, issue.1, pp.1106-1118, 2012. ,
DOI : 10.1080/01621459.2012.695674
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636816
Estimating optimal treatment regimes from a classification perspective, Stat, vol.68, issue.1, pp.103-114, 2012. ,
DOI : 10.1002/sta4.124
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640350
Statistical Issues and Limitations in Personalized Medicine Research with Clinical Trials, The International Journal of Biostatistics, vol.8, issue.1, 2012. ,
DOI : 10.1515/1557-4679.1423
Super-learning of an optimal dynamic treatment rule, The International Journal of Biostatistics, vol.12, issue.1, pp.305-332, 2016. ,
Action-gap phenomenon in reinforcement learning, Advances in Neural Information Processing Systems, pp.172-180, 2011. ,
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy. The Annals of Statistics, pp.713-742, 2016. ,
Targeted sequential design for targeted learning inference of the optimal treatment rule and its mean reward, The Annals of Statistics, p.2017 ,
Comment, Journal of the American Statistical Association, vol.10, issue.516, pp.1526-1530, 2016. ,
DOI : 10.1080/01621459.2012.695674
Fast learning rates for plug-in classifiers. The Annals of Statistics, pp.608-633, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00160849
Local Rademacher complexities and oracle inequalities in risk minimization . The Annals of Statistics, pp.2593-2656, 2006. ,
DOI : 10.1214/009053606000001019
URL : http://projecteuclid.org/download/pdfview_1/euclid.aos/1179935055
Uniform Donsker classes of functions. The Annals of Probability, pp.1983-2030, 1992. ,
DOI : 10.1214/aop/1176989538
Weak convergence and empirical processes, 1996. ,
Asymptotic statistics, 1998. ,
Unified methods for censored longitudinal data and causality, 2003. ,
DOI : 10.1007/978-0-387-21700-0
Targeted Maximum Likelihood Learning, The International Journal of Biostatistics, vol.2, issue.1, 2006. ,
DOI : 10.2202/1557-4679.1043
Targeted Learning: Causal Inference for Observational and Experimental Data, 2011. ,
Corrigendum to: Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule, Journal of Causal Inference, vol.3, issue.2, pp.267-271, 2016. ,
Abstract, Journal of Causal Inference, vol.3, issue.1, pp.61-95 ,
DOI : 10.1515/jci-2013-0022
Double machine learning for treatment and causal parameters, 2016. ,
Targeted Maximum Likelihood Estimation of Natural Direct Effects, The International Journal of Biostatistics, vol.8, issue.1, pp.2012-1557 ,
DOI : 10.2202/1557-4679.1361
Targeted minimum loss based estimation based on directly solving the efficient influence curve equation, 2011. ,
Optimal aggregation of classifiers in statistical learning. The Annals of Statistics, pp.135-166, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-00102142
A Doubly Robust Censoring Unbiased Transformation, The International Journal of Biostatistics, vol.3, issue.1, 2007. ,
DOI : 10.2202/1557-4679.1052
Targeted learning of an optimal dynamic treatment , and statistical inference for its mean outcome, 2014. ,
Oracle inequalities in empirical risk minimization and sparse recovery problems ISBN 978-3-642-22146-0. Lectures from the 38th Probability Summer School held in Saint-Flour, Lecture Notes in Mathematics, vol.2033, 2008. ,
DOI : 10.1007/978-3-642-22147-7
URL : http://link.springer.com/content/pdf/bfm%3A978-3-642-22147-7%2F1.pdf
-Learning for Quantiles, Journal of the American Statistical Association, vol.25, pp.1-37, 2016. ,
DOI : 10.1080/01621459.2014.937488
URL : https://hal.archives-ouvertes.fr/in2p3-00400337
Targeted sequential design for targeted learning inference of the optimal treatment rule and its mean reward, supplementary material, The Annals of Statistics, p.2017 ,
Mathematical analysis: an introduction, 2012. ,
DOI : 10.1007/978-1-4612-0715-3