2 papers
stat.ME2026
Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
Ramesh Johari, Tianyi Peng, Wenqian Xing
Randomized experiments (or A/B tests) are widely used to evaluate interventions in dynamic systems such as recommendation platforms, marketplaces, and digital health. In these sett…
stat.ME2026
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,…