collaborators

6 papers

stat.ME2026

Adaptive Neyman Allocation

Jinglong Zhao

In the experimental design literature, Neyman allocation refers to the practice of allocating units into treated and control groups, potentially in unequal numbers proportional to…

econ.EM2025

Estimating Effects of Long-Term Treatments

Shan Huang, Chen Wang, Yuan Yuan +3

Estimating the effects of long-term treatments through A/B testing is challenging. Treatments, such as updates to product functionalities, user interface designs, and recommendatio…

stat.ME2025

Design and Analysis of Switchback Experiments

Iavor Bojinov, David Simchi-Levi, Jinglong Zhao

Switchback experiments, where a firm sequentially exposes an experimental unit to random treatments, are among the most prevalent designs used in the technology sector, with applic…

cs.LG2025

Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches

David Simchi-Levi, Yunzong Xu, Jinglong Zhao

This paper studies the impact of limited switches on resource-constrained dynamic pricing with demand learning. We focus on the classical price-based blind network revenue manageme…

stat.ME2025

Synthetic Controls for Experimental Design

Alberto Abadie, Jinglong Zhao

This article studies experimental design in settings where the experimental units are large aggregate entities (e.g., markets), and only one or a small number of units can be expos…

cs.DS2025

The Competitive Ratio of Threshold Policies for Online Unit-density Knapsack Problems

Will Ma, David Simchi-Levi, Jinglong Zhao

We study a wholesale supply chain ordering problem. In this problem, the supplier has an initial stock, and faces an unpredictable stream of incoming orders, making real-time decis…