19 citations · 22 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces
Linglingzhi Zhu, Yunqin Zhu, Yao Xie
We study distributionally robust optimization (DRO) for robust inference when the worst-case distribution is continuous, leading to significant computational challenges due to the…
stat.ML2021★ 19 cited
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data
Shixiang Zhu, Alexander Bukharin, Liyan Xie +4
Recently, the Centers for Disease Control and Prevention (CDC) has worked with other federal agencies to identify counties with increasing coronavirus disease 2019 (COVID-19) incid…
cs.LG2019★ 3 cited
Imitation Learning of Neural Spatio-Temporal Point Processes
Shixiang Zhu, Shuang Li, Zhigang Peng +1
We present a novel Neural Embedding Spatio-Temporal (NEST) point process model for spatio-temporal discrete event data and develop an efficient imitation learning (a type of reinfo…