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cs.DS2011
Topics in Matrix Sampling Algorithms
Christos Boutsidis
We study three fundamental problems of Linear Algebra, lying in the heart of various Machine Learning applications, namely: 1)"Low-rank Column-based Matrix Approximation". We are g…
cs.DS2008
Random Projections for the Nonnegative Least-Squares Problem
Christos Boutsidis, Petros Drineas
Constrained least-squares regression problems, such as the Nonnegative Least Squares (NNLS) problem, where the variables are restricted to take only nonnegative values, often arise…