6 citations · 7 across the 9 of their papers we have counts for
11 papers
What is the Long-Term Value of Reliability?
Chenyu Qiu, Xu Kuang, Inessa Liskovich +2
We describe Chronos LTV, a system to measure the long-term impact of delays and other service defects on key business metrics. We use Markov decision processes to model customer in…
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
Bryan Park, Stefan Wager
We propose a framework, the Neyman Jackknife, for conservative variance estimation in finite-population causal inference under interference. Our approach provides a general, flexib…
Sequentially-Rerandomized Switchback Experiments
Zhenghao Zeng, Christopher Adjaho, Alonso Bucarey +5
Large-scale online platforms and marketplace systems often evaluate new policies through experiments that randomize treatment across operational units (e.g., geographies, regions,…
Treatment effect estimation under convergent network interference
Bryan Park, Stefan Wager
Under network interference, a unit's observed outcome depends on the treatment assignment of its neighboring units in an exposure graph. Existing design-based asymptotic theory typ…
Non-parametric Causal Inference in Dynamic Thresholding Designs
Aditya Ghosh, Stefan Wager
We consider causal inference in dynamic settings where treatment is assigned by thresholding a state variable that can change over time. There is a large literature on regression-d…
Optimal Targeting in Dynamic Systems
Yuchen Hu, Shuangning Li, Stefan Wager
Modern treatment targeting methods often rely on estimating a conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits…
Admissibility of Completely Randomized Trials: A Large-Deviation Approach
Guido Imbens, Chao Qin, Stefan Wager
When an experimenter has the option of running an adaptive trial, is it admissible to ignore this option and run a non-adaptive trial instead? We provide a negative answer to this…
PLRD: Partially Linear Regression Discontinuity Inference
Aditya Ghosh, Guido Imbens, Stefan Wager
Regression discontinuity designs have become one of the most popular research designs in empirical economics. We argue, however, that the widely used approaches to building confide…
Sequential Validation of Treatment Heterogeneity
Stefan Wager
We use the martingale construction of Luedtke and van der Laan (2016) to develop tests for the presence of treatment heterogeneity. The resulting sequential validation approach can…
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad, David A. Hirshberg, Ruohan Zhan +2
Adaptive experiment designs can dramatically improve statistical efficiency in randomized trials, but they also complicate statistical inference. For example, it is now well known…
Weakly supervised clustering: Learning fine-grained signals from coarse labels
Stefan Wager, Alexander Blocker, Niall Cardin
Consider a classification problem where we do not have access to labels for individual training examples, but only have average labels over subpopulations. We give practical exampl…