Change-point analysis has been successfully applied to the detect change...
We study a mean change point testing problem for high-dimensional data, ...
We propose a new method for high-dimensional semi-supervised learning
pr...
We consider the problem of testing whether a single coefficient is equal...
Detecting change-points in data is challenging because of the range of
p...
We introduce a new methodology 'charcoal' for estimating the location of...
We introduce and study two new inferential challenges associated with th...
We propose a new method for changepoint estimation in partially-observed...
Change-points are a routine feature of 'big data' observed in the form o...
We introduce a new method for two-sample testing of high-dimensional lin...
This paper reviews the second AIM realistic bokeh effect rendering chall...
We introduce a new method for high-dimensional, online changepoint detec...
We study the problem of high-dimensional Principal Component Analysis (P...
We introduce a new method for sparse principal component analysis, based...
The restricted isometry property (RIP) for design matrices gives guarant...
We study the problem of identifying the top m arms in a multi-armed band...