activity
20062022
most citedEstimating the Trace of the Matrix Inverse by Interpolating from the Diagonal of an Approximate Inverse

36 citations · 120 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2022★ 2 cited

pylspack: Parallel algorithms and data structures for sketching, column subset selection, regression and leverage scores

Aleksandros Sobczyk, Efstratios Gallopoulos

We present parallel algorithms and data structures for three fundamental operations in Numerical Linear Algebra: (i) Gaussian and CountSketch random projections and their combinati…

cs.DS2021★ 2 cited

Estimating leverage scores via rank revealing methods and randomization

Aleksandros Sobczyk, Efstratios Gallopoulos

We study algorithms for estimating the statistical leverage scores of rectangular dense or sparse matrices of arbitrary rank. Our approach is based on combining rank revealing meth…

cs.IR2015★ 29 cited

EigenRec: Generalizing PureSVD for Effective and Efficient Top-N Recommendations

Athanasios N. Nikolakopoulos, Vassilis Kalantzis, Efstratios Gallopoulos +1

We introduce EigenRec; a versatile and efficient Latent-Factor framework for Top-N Recommendations that includes the well-known PureSVD algorithm as a special case. EigenRec builds…

math.NA2015★ 36 cited

Estimating the Trace of the Matrix Inverse by Interpolating from the Diagonal of an Approximate Inverse

Lingfei Wu, Jesse Laeuchli, Vassilis Kalantzis +2

A number of applications require the computation of the trace of a matrix that is implicitly available through a function. A common example of a function is the inverse of a large,…

cs.DC2006★ 35 cited

Asynchronous iterative computations with Web information retrieval structures: The PageRank case

Giorgos Kollias, Efstratios Gallopoulos, Daniel B. Szyld

There are several ideas being used today for Web information retrieval, and specifically in Web search engines. The PageRank algorithm is one of those that introduce a content-neut…

cs.IR2006★ 16 cited

Exploring term-document matrices from matrix models in text mining

Ioannis Antonellis, Efstratios Gallopoulos

We explore a matrix-space model, that is a natural extension to the vector space model for Information Retrieval. Each document can be represented by a matrix that is based on docu…