Stefan Wager
37 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-7526-9077
Graduate School of Business, Stanford University
Publications
- Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects — Journal of the American Statistical Association 2025
- Treatment Effects in Market Equilibrium — American Economic Review 2025
- Policy Learning with Competing Agents — Operations Research 2025
- Noise-induced randomization in regression discontinuity designs — Biometrika 2025
- A Comment on:“Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India” by Victor Chernozhukov, Mert Demirer, Esther Duflo, and Iván Fernández-Val — Econometrica 2025
- Weak Signal Asymptotics for Sequentially Randomized Experiments — Management Science 2024
- What makes forest-based heterogeneous treatment effect estimators work? — The Annals of Applied Statistics 2024
- Estimating heterogeneous treatment effects with right-censored data via causal survival forests — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Off-policy evaluation in partially observed Markov decision processes under sequential ignorability — The Annals of Statistics 2023
- Offline Multi-Action Policy Learning: Generalization and Optimization — Operations Research 2023
- Average direct and indirect causal effects under interference — Biometrika 2022
- Confidence Intervals for Nonparametric Empirical Bayes Analysis — Journal of the American Statistical Association 2022
- Random graph asymptotics for treatment effect estimation under network interference — The Annals of Statistics 2022
- Smoothness-Adaptive Contextual Bandits — Operations Research 2022
- Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis — Journal of the American Statistical Association 2022
- Synthetic Difference-in-Differences — American Economic Review 2021
- Quasi-oracle estimation of heterogeneous treatment effects — Biometrika 2021
- Policy Learning With Observational Data — Econometrica 2021
- Learning When-to-Treat Policies — Journal of the American Statistical Association 2021
- Augmented minimax linear estimation — The Annals of Statistics 2021
- Experimenting in Equilibrium — Management Science 2021
- Cross-Validation, Risk Estimation, and Model Selection: Comment on a Paper by Rosset and Tibshirani — Journal of the American Statistical Association 2020
- Doubly robust treatment effect estimation with missing attributes — The Annals of Applied Statistics 2020
- Generalized random forests — The Annals of Statistics 2019
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests — Journal of the American Statistical Association 2018
- Approximate residual balancing: debiased inference of average treatment effects in high dimensions — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
- High-dimensional asymptotics of prediction: Ridge regression and classification — The Annals of Statistics 2018
- Shape-constrained partial identification of a population mean under unknown probabilities of sample selection — Biometrika 2018
- Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges — American Economic Review 2017
- Bootstrap-Based Regularization for Low-Rank Matrix Estimation — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
- Sequential selection procedures and false discovery rate control — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
- Weakly supervised clustering: Learning fine-grained signals from coarse labels — The Annals of Applied Statistics 2015 (name-matched, not ORCID-linked)
- Semiparametric exponential families for heavy-tailed data — Biometrika 2015
- Valuing lead time — Journal of Operations Management 2014
- Economies of extremes: Lessons from venture-capital decision making — Journal of Operations Management 2014
- Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
- Experimenting Under Stochastic Congestion — Management Science