32 citations · 60 across the 17 of their papers we have counts for
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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★ 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…
stat.ME2023★ 1 cited
Generalized generalized linear models: Convex estimation and online bounds
Anatoli Juditsky, Arkadi Nemirovski, Yao Xie +1
We introduce a new computational framework for estimating parameters in generalized generalized linear models (GGLM), a class of models that extends the popular generalized linear…