13 citations · 23 across the 13 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
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…
stat.ML2023★ 13 cited
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
Xiuyuan Cheng, Jianfeng Lu, Yixin Tan +1
Flow-based generative models enjoy certain advantages in computing the data generation and the likelihood, and have recently shown competitive empirical performance. Compared to th…
stat.ML2023★ 2 cited
Computing high-dimensional optimal transport by flow neural networks
Chen Xu, Xiuyuan Cheng, Yao Xie
Computing optimal transport (OT) for general high-dimensional data has been a long-standing challenge. Despite much progress, most of the efforts including neural network methods h…