13 citations · 15 across the 13 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Generative models for decision-making under distributional shift
Xiuyuan Cheng, Yunqin Zhu, Yao Xie
Many data-driven decision problems are formulated using a nominal distribution estimated from historical data, while performance is ultimately determined by a deployment distributi…
cs.LG2025
Flow-based generative models as iterative algorithms in probability space
Yao Xie, Xiuyuan Cheng
Generative AI (GenAI) has revolutionized data-driven modeling by enabling the synthesis of high-dimensional data across various applications, including image generation, language m…
cs.LG2023
Flow-based Distributionally Robust Optimization
Chen Xu, Jonghyeok Lee, Xiuyuan Cheng +1
We present a computationally efficient framework, called , for solving flow-based distributionally robust optimization (DRO) problems with Wasserstein uncertainty…