29 citations · 97 across the 89 of their papers we have counts for
8 papers · 1 filter
HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
Xinrui Ruan, Zhenyu Zhao, Waverly Wei +4
Reliable generative AI models critically rely on expert human annotations to evaluate output quality, yet these "gold" labels are expensive to collect and limited in quantity. Orga…
Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law
Nanshan Jia, Ramesh Johari, Nian Si +1
In data centers, tasks are dispatched to various servers to evenly distribute the workload. When a data center considers implementing a new scheduling algorithm, it typically condu…
Experimental Designs for Multi-Item Multi-Period Inventory Control
Xinqi Chen, Xingyu Bai, Zeyu Zheng +1
Randomized experiments, or A/B testing, are the gold standard for evaluating interventions, yet they remain underutilized in inventory management. This study addresses this gap by…
Causal inference with Machine Learning-Based Covariate Representation
Yuhang Wu, Jinghai He, Zeyu Zheng
Utilizing covariate information has been a powerful approach to improve the efficiency and accuracy for causal inference, which support massive amount of randomized experiments run…
Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups
Waverly Wei, Maya Petersen, Mark J van der Laan +3
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogenei…
Joint Optimization and Statistical Inference for Zero-th Order Simulation Optimization
Yuhang Wu, Zeyu Zheng, Yingfei Wang +3
We consider stochastic optimization problems with the dual tasks of (i) effectively finding the optimizer and (ii) reliably conducting statistical inference for the optimal objecti…
Inference on the Best Policies with Many Covariates
Waverly Wei, Yuqing Zhou, Zeyu Zheng +1
Understanding the impact of the most effective policies or treatments on a response variable of interest is desirable in many empirical works in economics, statistics and other dis…
Selecting the Best Optimizing System
Nian Si, Yifu Tang, Zeyu Zheng
We formulate selecting the best optimizing system (SBOS) problems and provide solutions for those problems. In an SBOS problem, a finite number of systems are contenders. Inside ea…