research
∙
06/18/2023
SpreadDetect: Detection of spreading change in a network over time
Change-point analysis has been successfully applied to the detect change...
share
research
∙
05/30/2023
Robust mean change point testing in high-dimensional data with heavy tails
We study a mean change point testing problem for high-dimensional data, ...
research
∙
04/18/2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
We propose a new method for high-dimensional semi-supervised learning pr...
research
∙
11/29/2022
Residual Permutation Test for High-Dimensional Regression Coefficient Testing
We consider the problem of testing whether a single coefficient is equal...
research
∙
11/07/2022
Automatic Change-Point Detection in Time Series via Deep Learning
Detecting change-points in data is challenging because of the range of p...
research
∙
08/12/2022
Sparse change detection in high-dimensional linear regression
We introduce a new methodology 'charcoal' for estimating the location of...
research
∙
11/02/2021
Inference in high-dimensional online changepoint detection
We introduce and study two new inferential challenges associated with th...
research
∙
08/03/2021
High-dimensional changepoint estimation with heterogeneous missingness
We propose a new method for changepoint estimation in partially-observed...
research
∙
07/19/2021
Estimation of high-dimensional change-points under a group sparsity structure
Change-points are a routine feature of 'big data' observed in the form o...
research
∙
11/27/2020
Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
We introduce a new method for two-sample testing of high-dimensional lin...
research
∙
11/10/2020
AIM 2020 Challenge on Rendering Realistic Bokeh
This paper reviews the second AIM realistic bokeh effect rendering chall...
research
∙
03/07/2020
High-dimensional, multiscale online changepoint detection
We introduce a new method for high-dimensional, online changepoint detec...
research
∙
06/28/2019
High-dimensional principal component analysis with heterogeneous missingness
We study the problem of high-dimensional Principal Component Analysis (P...
research
∙
12/15/2017
Sparse principal component analysis via random projections
We introduce a new method for sparse principal component analysis, based...
research
∙
05/31/2016
Average-case Hardness of RIP Certification
The restricted isometry property (RIP) for design matrices gives guarant...
research
∙
05/14/2012
