activity
20192026
most citedBlind Network Revenue Management and Bandits with Knapsacks under Limited Switches

3 citations · 5 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI2026

FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization

Minwei Kong, Chonghe Jiang, Ao Qu +24

Large language models (LLMs) are increasingly used for optimization modeling and solver-code generation, yet practical operations research and optimization problems often require a…

stat.ME2023

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.EM2023

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.ME2022

Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective

Jinglong Zhao, Zijie Zhou

Practitioners and academics have long appreciated the benefits of covariate balancing when they conduct randomized experiments. For web-facing firms running online A/B tests, howev…

stat.ME2021

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…

stat.ME2020★ 2 cited

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.LG2019★ 3 cited

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…

cs.DS2019

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…