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Stefan Wager

Identifiers

  • name variant Stefan Wager 0.60 · backfill

Papers (34)

  1. Unlocking Deep Demand Flexibility via Dynamic Signals math.OC · 2026 · author #4
  2. Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference stat.ME · 2026 · author #2
  3. Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness stat.ME · 2026 · author #2
  4. Nonparametric Regression Discontinuity Designs with Survival Outcomes stat.ML · 2026 · author #4
  5. Sequentially-Rerandomized Switchback Experiments stat.ME · 2026 · author #8
  6. Non-parametric Causal Inference in Dynamic Thresholding Designs stat.ME · 2025 · author #2
  7. Sparsity Double Robust Inference of Average Treatment Effects math.ST · 2019 · author #2
  8. Estimating Treatment Effects with Causal Forests: An Application stat.ME · 2019 · author #2
  9. Debiased Inference of Average Partial Effects in Single-Index Models math.ST · 2018 · author #2
  10. Offline Multi-Action Policy Learning: Generalization and Optimization stat.ML · 2018 · author #3
  11. Shape-constrained partial identification of a population mean under unknown probabilities of sample selection math.ST · 2017 · author #2
  12. Optimized Regression Discontinuity Designs stat.ME · 2017 · author #2
  13. Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges stat.ME · 2017 · author #4
  14. Generalized Random Forests stat.ME · 2016 · author #3
  15. Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions stat.ME · 2016 · author #3
  16. Data Augmentation via Levy Processes stat.ML · 2016 · author #1
  17. denoiseR: A Package for Low Rank Matrix Estimation stat.AP · 2016 · author #3
  18. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests stat.ME · 2015 · author #1
  19. Teaching Statistics at Google Scale stat.AP · 2015 · author #3
  20. High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification math.ST · 2015 · author #2
  21. The Efficiency of Density Deconvolution math.ST · 2015 · author #1
  22. Adaptive Concentration of Regression Trees, with Application to Random Forests math.ST · 2015 · author #1
  23. The Statistics of Streaming Sparse Regression math.ST · 2014 · author #2
  24. Bootstrap-Based Regularization for Low-Rank Matrix Estimation stat.ME · 2014 · author #2
  25. Confidence Areas for Fixed-Effects PCA stat.ME · 2014 · author #2
  26. Altitude Training: Strong Bounds for Single-Layer Dropout stat.ML · 2014 · author #1
  27. Asymptotic Theory for Random Forests math.ST · 2014 · author #1
  28. Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife stat.ML · 2013 · author #1
  29. Feedback Detection for Live Predictors stat.ME · 2013 · author #1
  30. Weakly supervised clustering: Learning fine-grained signals from coarse labels stat.ML · 2013 · author #1
  31. Sequential Selection Procedures and False Discovery Rate Control math.ST · 2013 · author #2
  32. Semiparametric Exponential Families for Heavy-Tailed Data stat.ME · 2013 · author #2
  33. Dropout Training as Adaptive Regularization stat.ML · 2013 · author #1
  34. Subsampling Extremes: From Block Maxima to Smooth Tail Estimation stat.ME · 2012 · author #1

Mentions

  • 2512.15244 #2 · arxiv_oai · confidence 0.70 Stefan Wager
  • 1204.0316 #1 · backfill · confidence 0.70 Stefan Wager
  • 2604.05639 #2 · arxiv_oai · confidence 0.70 Stefan Wager

Frequent Coauthors