3 papers
cs.AI2026
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
Zikun Ye, Hema Yoganarasimhan
Large Language Models can generate synthetic survey responses at low cost, but their accuracy varies unpredictably across questions. We study the design problem of allocating a fix…
cs.LG2026
Allocating Human Oversight in AI-Enabled Analytics
Zikun Ye, Jiameng Lyu, Rui Tao
Organizations increasingly deploy AI as a low-cost prediction layer in customer-facing decision processes, including demand sensing, service-quality monitoring, product testing, an…
math.OC2022
Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management
Xin Chen, Niao He, Yifan Hu +1
We study a class of stochastic nonconvex optimization in the form of , i.e., is a composition of a convex function and…