132 citations · 1.3k across the 52 of their papers we have counts for
8 papers · 1 filter
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
This paper derives sufficient conditions for local recovery of coordinate dictionaries comprising a Kronecker-structured dictionary that is used for representing th-order tensor…
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker stru…
Detection Theory for Union of Subspaces
Muhammad Asad Lodhi, Waheed U. Bajwa
The focus of this paper is on detection theory for union of subspaces (UoS). To this end, generalized likelihood ratio tests (GLRTs) are presented for detection of signals conformi…
Generalized Geometric Programming for Rate Allocation in Consensus
Ryan Pilgrim, Junan Zhu, Dror Baron +1
Distributed averaging, or distributed average consensus, is a common method for computing the sample mean of the data dispersed among the nodes of a network in a decentralized mann…
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang, Waheed U. Bajwa
Distributed machine learning algorithms enable learning of models from datasets that are distributed over a network without gathering the data at a centralized location. While effi…
ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models
Talal Ahmed, Waheed U. Bajwa
Statistical inference can be computationally prohibitive in ultrahigh-dimensional linear models. Correlation-based variable screening, in which one leverages marginal correlations…