151 citations · 632 across the 84 of their papers we have counts for
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stat.ML2023
Deep graph kernel point processes over networks
Zheng Dong, Matthew Repasky, Xiuyuan Cheng +1
Point process models are widely used for continuous-time discrete-event data, where each data point includes time and additional information called "marks," such as locations, node…
stat.ML2023
Variable Selection for Kernel Two-Sample Tests
Jie Wang, Santanu S. Dey, Yao Xie
We consider the variable selection problem for two-sample tests, aiming to select the most informative variables to determine whether two collections of samples follow the same dis…
cs.LG2023★ 1 cited
Causal Structural Learning from Time Series: A Convex Optimization Approach
Song Wei, Yao Xie
Structural learning, which aims to learn directed acyclic graphs (DAGs) from observational data, is foundational to causal reasoning and scientific discovery. Recent advancements f…