151 citations · 632 across the 84 of their papers we have counts for
5 papers · 2 filters
Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
Heejune Sheen, Xiaonan Zhu, Yao Xie
We estimate the general influence functions for spatio-temporal Hawkes processes using a tensor recovery approach by formulating the location dependent influence function that capt…
Two-sample Test using Projected Wasserstein Distance
Jie Wang, Rui Gao, Yao Xie
We develop a projected Wasserstein distance for the two-sample test, a fundamental problem in statistics and machine learning: given two sets of samples, to determine whether they…
Uncertainty Quantification for Inferring Hawkes Networks
Haoyun Wang, Liyan Xie, Alex Cuozzo +2
Multivariate Hawkes processes are commonly used to model streaming networked event data in a wide variety of applications. However, it remains a challenge to extract reliable infer…
Distributionally Robust Weighted -Nearest Neighbors
Shixiang Zhu, Liyan Xie, Minghe Zhang +2
Learning a robust classifier from a few samples remains a key challenge in machine learning. A major thrust of research has been focused on developing -nearest neighbor (-NN)…
Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu, Minghe Zhang, Ruyi Ding +1
We present a novel attention-based model for discrete event data to capture complex non-linear temporal dependence structures. We borrow the idea from the attention mechanism and i…