1 citations · 1 across the 5 of their papers we have counts for
6 papers
Selection of the Best Policy under Fairness Constraints for Subpopulations
Tingyu Zhu, Yuhang Wu, Zeyu Zheng
Many high-stakes decisions in health care, public policy, and clinical development require committing to a single policy that will be applied uniformly across a heterogeneous popul…
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation
Nanshan Jia, Chenfei Yuan, Yuhang Wu +1
The fast development of Large Language Models (LLMs) offers growing opportunities to further improve sequential recommendation systems. Yet for some practitioners, integrating LLMs…
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance
Teng Lian, Jian-Qiang Hu, Yuhang Wu +1
Black-box optimization is often encountered for decision-making in complex systems management, where the knowledge of system is limited. Under these circumstances, it is essential…
Large Language Model Enhanced Machine Learning Estimators for Classification
Yuhang Wu, Yingfei Wang, Chu Wang +1
Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input. In…
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation
Jinghai He, Haoyu Liu, Yuhang Wu +2
We provide a preliminary study on utilizing GPU (Graphics Processing Unit) to accelerate computation for three simulation optimization tasks with either first-order or second-order…
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…