Stefan Wager

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Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessAdresse e-mail validée de stanford.edu
David A. HirshbergEmory UniversityAdresse e-mail validée de emory.edu
guido imbensStanford UniversityAdresse e-mail validée de stanford.edu
Julie TibshiraniElasticsearch BVAdresse e-mail validée de cs.stanford.edu
Erik SverdrupDepartment of Econometrics & Business Statistics, Monash UniversityAdresse e-mail validée de monash.edu
Xinkun NieStanford UniversityAdresse e-mail validée de stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Sida I. WangFacebook AIAdresse e-mail validée de fb.com
Dmitry ArkhangelskyCEMFIAdresse e-mail validée de cemfi.es
Xu Kuang (许匡)Associate Professor, Stanford Graduate School of BusinessAdresse e-mail validée de stanford.edu
Shuangning LiUniversity of ChicagoAdresse e-mail validée de chicagobooth.edu
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Nikolaos IgnatiadisStatistics & Data Science, University of ChicagoAdresse e-mail validée de uchicago.edu
Yuchen HuStanford UniversityAdresse e-mail validée de stanford.edu
Vitor HadadApplied Scientist, Amazon Lab126Adresse e-mail validée de amazon.com
Julie JosseSenior Researcher Inria,Adresse e-mail validée de inria.fr
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Suzanne de TrevilleProfessor of Operations Management, Faculty of Business and Economics (HEC), University of LausanneAdresse e-mail validée de unil.ch
B EfronProfessor of statistics, Stanford UniversityAdresse e-mail validée de stat.stanford.edu

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Stefan Wager

Graduate School of Business, Stanford University

Adresse e-mail validée de stanford.edu - Page d'accueil

Statistics Machine Learning Causal Inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Estimation and inference of heterogeneous treatment effects using random forests S Wager, S Athey Journal of the American Statistical Association 113 (523), 1228-1242, 2018	3380	2018
Generalized random forests S Athey, J Tibshirani, S Wager The Annals of Statistics 47 (2), 1148-1178, 2019	2181	2019
Synthetic difference-in-differences D Arkhangelsky, S Athey, DA Hirshberg, GW Imbens, S Wager American Economic Review 111 (12), 4088-4118, 2021	971	2021
Quasi-oracle estimation of heterogeneous treatment effects X Nie, S Wager Biometrika 108 (2), 299-319, 2021	889	2021
Policy learning with observational data S Athey, S Wager Econometrica 89 (1), 133-161, 2021	827*	2021
Dropout training as adaptive regularization S Wager, S Wang, PS Liang Advances in Neural Information Processing Systems, 351-359, 2013	755	2013
Approximate residual balancing: Debiased inference of average treatment effects in high dimensions S Athey, GW Imbens, S Wager Journal of the Royal Statistical Society Series B 80 (4), 597-623, 2018	667*	2018
Confidence intervals for random forests: The jackknife and the infinitesimal jackknife S Wager, T Hastie, B Efron The journal of machine learning research 15 (1), 1625-1651, 2014	593	2014
Estimating treatment effects with causal forests: An application S Athey, S Wager Observational Studies 5, 2019	521	2019
High-dimensional asymptotics of prediction: Ridge regression and classification E Dobriban, S Wager The Annals of Statistics 46 (1), 247-279, 2018	340	2018
Local linear forests R Friedberg, J Tibshirani, S Athey, S Wager Journal of Computational and Graphical Statistics 30 (2), 503-517, 2020	301	2020
Adaptive concentration of regression trees, with application to random forests S Wager, G Walther arXiv preprint arXiv:1503.06388, 2015	201*	2015
Offline multi-action policy learning: Generalization and optimization Z Zhou, S Athey, S Wager Operations Research 71 (1), 148-183, 2023	187	2023
Sequential selection procedures and false discovery rate control MG G'Sell, S Wager, A Chouldechova, R Tibshirani Journal of the Royal Statistical Society: Series B 78 (2), 423-444, 2016	177	2016
Confidence intervals for policy evaluation in adaptive experiments V Hadad, DA Hirshberg, R Zhan, S Wager, S Athey Proceedings of the national academy of sciences 118 (15), e2014602118, 2021	166	2021
High-dimensional regression adjustments in randomized experiments S Wager, W Du, J Taylor, RJ Tibshirani Proceedings of the National Academy of Sciences 113 (45), 12673-12678, 2016	133	2016
Valuing lead time S De Treville, I Bicer, V Chavez-Demoulin, V Hagspiel, N Schürhoff, ... Journal of Operations Management 32 (6), 337-346, 2014	132	2014
Ranger: A fast implementation of random forests MN Wright, S Wager, P Probst R package version 0.12 1, 2020	128	2020
Augmented minimax linear estimation DA Hirshberg, S Wager The Annals of Statistics 49 (6), 3206-3227, 2021	124*	2021
Estimating average treatment effects: Supplementary analyses and remaining challenges S Athey, G Imbens, T Pham, S Wager American Economic Review 107 (5), 278-281, 2017	118	2017

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