151 citations · 632 across the 84 of their papers we have counts for
7 papers · 1 filter
Maximum entropy low-rank matrix recovery
Simon Mak, Yao Xie
We propose in this paper a novel, information-theoretic method, called MaxEnt, for efficient data acquisition for low-rank matrix recovery. This proposed method has important appli…
Crime incidents embedding using restricted Boltzmann machines
Shixiang Zhu, Yao Xie
We present a new approach for detecting related crime series, by unsupervised learning of the latent feature embeddings from narratives of crime record via the Gaussian-Bernoulli R…
Distributed Change Detection via Average Consensus over Networks
Qinghua Liu, Rui Zhang, Yao Xie
Distributed change-point detection has been a fundamental problem when performing real-time monitoring using sensor-networks. We propose a distributed detection algorithm, where ea…
Sequential detection of low-rank changes using extreme eigenvalues
Liyan Xie, Yao Xie
We study the problem of detecting an abrupt change to the signal covariance matrix. In particular, the covariance changes from a "white" identity matrix to an unknown spiked or low…
: An Efficient Score-Statistic for Spatio-Temporal Surveillance
Junzhuo Chen, Seong-Hee Kim, Yao Xie
We present an efficient score statistic, called the statistic, to detect the emergence of a spatially and temporally correlated signal from either fixed-s…
Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates
Yang Cao, Liyan Xie, Yao Xie +1
Sequential change-point detection when the distribution parameters are unknown is a fundamental problem in statistics and machine learning. When the post-change parameters are unkn…