4 citations · 5 across the 3 of their papers we have counts for
8 papers
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization
Jingge Wang, Yang Li, Liyan Xie +1
Given multiple source domains, domain generalization aims at learning a universal model that performs well on any unseen but related target domain. In this work, we focus on the do…
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…
Convex Parameter Recovery for Interacting Marked Processes
Anatoli Juditsky, Arkadi Nemirovski, Liyan Xie +1
We introduce a new general modeling approach for multivariate discrete event data with categorical interacting marks, which we refer to as marked Bernoulli processes. In the propos…
Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors
Liyan Xie, Yao Xie, George V. Moustakides
We consider the sequential change-point detection for asynchronous multi-sensors, where each sensor observe a signal (due to change-point) at different times. We propose an asynchr…
First-order optimal sequential subspace change-point detection
Liyan Xie, George V. Moustakides, Yao Xie
We consider the sequential change-point detection problem of detecting changes that are characterized by a subspace structure. Such changes are frequent in high-dimensional streami…
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
Rui Gao, Liyan Xie, Yao Xie +1
We develop a novel computationally efficient and general framework for robust hypothesis testing. The new framework features a new way to construct uncertainty sets under the null…