6 papers
Designing Service Systems from Textual Evidence
Ruicheng Ao, Hongyu Chen, Siyang Gao +2
Designing service systems requires selecting among alternative configurations -- choosing the best chatbot variant, the optimal routing policy, or the most effective quality contro…
AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach
Hongyu Chen, David Simchi-Levi, Ruoxuan Xiong
Across business and social science applications, outcomes are often missing in ways that depend on the unobserved outcomes themselves. In service systems, for example, whether a cu…
Best Arm Identification with LLM Judges and Limited Human
Ruicheng Ao, Hongyu Chen, Siyang Gao +2
We study fixed-confidence best-arm identification (BAI) where a cheap but potentially biased proxy (e.g., LLM judge) is available for every sample, while an expensive ground-truth…
PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
Ruicheng Ao, Hongyu Chen, Haoyang Liu +2
We study semi-supervised stochastic optimization when labeled data is scarce but predictions from pre-trained models are available. PPI and SVRG both reduce variance through contro…
Prediction-Guided Active Experiments
Ruicheng Ao, Hongyu Chen, David Simchi-Levi
In this work, we introduce a new framework for active experimentation, the Prediction-Guided Active Experiment (PGAE), which leverages predictions from an existing machine learning…
Online Resource Allocation with Average Budget Constraints
Ruicheng Ao, Hongyu Chen, David Simchi-Levi +1
We consider the problem of online resource allocation with average budget constraints. At each time point the decision maker makes an irrevocable decision of whether to accept or r…