Sparse arrays enable resolving more direction of arrivals (DoAs) than an...
In this paper, we study the problems of detection and recovery of hidden...
We consider the task of detecting a hidden bipartite subgraph in a given...
We study the problem of detecting the correlation between two Gaussian
d...
We propose an efficient method to learn both unstructured and structured...
Social media platforms (SMPs) leverage algorithmic filtering (AF) as a m...
In the recent years, DNA has emerged as a potentially viable storage
tec...
We study the two inference problems of detecting and recovering an isola...
The planted densest subgraph detection problem refers to the task of tes...
The fuzzy or soft k-means objective is a popular generalization of the
w...
Recommendation systems often use online collaborative filtering (CF)
alg...
According to recent empirical studies, a majority of users have the same...
We analyze a sequential decision making model in which decision makers (...
Overlapping clusters are common in models of many practical data-segment...
In the general submatrix detection problem, the task is to detect the
pr...
The prototypical high-dimensional statistics problem entails finding a
s...
In September 2017, McAffee Labs quarterly report estimated that brute fo...