4 citations · 17 across the 5 of their papers we have counts for
3 papers · 1 filter
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
Agniva Chowdhury, Gregory Dexter, Palma London +2
Linear programming (LP) is an extremely useful tool which has been successfully applied to solve various problems in a wide range of areas, including operations research, engineeri…
Approximation Algorithms for Sparse Principal Component Analysis
Agniva Chowdhury, Petros Drineas, David P. Woodruff +1
Principal component analysis (PCA) is a widely used dimension reduction technique in machine learning and multivariate statistics. To improve the interpretability of PCA, various a…
Speeding up Linear Programming using Randomized Linear Algebra
Agniva Chowdhury, Palma London, Haim Avron +1
Linear programming (LP) is an extremely useful tool and has been successfully applied to solve various problems in a wide range of areas, including operations research, engineering…