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Stefan Wager
Stefan Wager
Graduate School of Business, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
21382018
Generalized random forests
S Athey, J Tibshirani, S Wager
The Annals of Statistics 47 (2), 1148-1178, 2019
12592019
Dropout training as adaptive regularization
S Wager, S Wang, PS Liang
Advances in Neural Information Processing Systems, 351-359, 2013
6252013
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
4702014
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
394*2018
Policy learning with observational data
S Athey, S Wager
Econometrica 89 (1), 133-161, 2021
388*2021
Quasi-oracle estimation of heterogeneous treatment effects
X Nie, S Wager
Biometrika 108 (2), 299-319, 2021
3872021
Synthetic difference-in-differences
D Arkhangelsky, S Athey, DA Hirshberg, GW Imbens, S Wager
American Economic Review 111 (12), 4088-4118, 2021
3262021
Estimating treatment effects with causal forests: An application
S Athey, S Wager
Observational Studies 5, 2019
2512019
High-dimensional asymptotics of prediction: Ridge regression and classification
E Dobriban, S Wager
The Annals of Statistics 46 (1), 247-279, 2018
2202018
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
160*2016
Adaptive concentration of regression trees, with application to random forests
S Wager, G Walther
arXiv preprint arXiv:1503.06388, 2015
138*2015
Local linear forests
R Friedberg, J Tibshirani, S Athey, S Wager
Journal of Computational and Graphical Statistics 30 (2), 503-517, 2020
1092020
Valuing lead time
S De Treville, I Bicer, V Chavez-Demoulin, V Hagspiel, N Schürhoff, ...
Journal of Operations Management 32 (6), 337-346, 2014
1072014
Offline multi-action policy learning: Generalization and optimization
Z Zhou, S Athey, S Wager
Operations Research, 2022
982022
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
982016
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
972017
Augmented minimax linear estimation
DA Hirshberg, S Wager
The Annals of Statistics 49 (6), 3206-3227, 2021
85*2021
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
822021
Memory, communication, and statistical queries
J Steinhardt, G Valiant, S Wager
29th Annual Conference on Learning Theory, 1490–1516, 2016
762016
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Articles 1–20