151 citations · 632 across the 84 of their papers we have counts for
9 papers · 1 filter
Online Supervised Subspace Tracking
Yao Xie, Ruiyang Song, Hanjun Dai +2
We present a framework for supervised subspace tracking, when there are two time series and , one being the high-dimensional predictors and the other being the response…
Sequential Information Guided Sensing
Ruiyang Song, Yao Xie, Sebastian Pokutta
We study the value of information in sequential compressed sensing by characterizing the performance of sequential information guided sensing in practical scenarios when informatio…
Multi-Sensor Slope Change Detection
Yang Cao, Yao Xie, Nagi Gebraeel
We develop a mixture procedure for multi-sensor systems to monitor data streams for a change-point that causes a gradual degradation to a subset of the streams. Observations are as…
Categorical Matrix Completion
Yang Cao, Yao Xie
We consider the problem of completing a matrix with categorical-valued entries from partial observations. This is achieved by extending the formulation and theory of one-bit matrix…
Scan -Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai +1
Detecting the emergence of an abrupt change-point is a classic problem in statistics and machine learning. Kernel-based nonparametric statistics have been used for this task which…
Sketching for Sequential Change-Point Detection
Yang Cao, Andrew Thompson, Meng Wang +1
We study sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics. The GLR stati…