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math.NA2020
On Application of Block Kaczmarz Methods in Matrix Factorization
Edwin Chau, Jamie Haddock
Matrix factorization techniques compute low-rank product approximations of high dimensional data matrices and as a result, are often employed in recommender systems and collaborati…
math.NA2019
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin
Jamie Haddock, Anna Ma
Stochastic iterative algorithms have gained recent interest in machine learning and signal processing for solving large-scale systems of equations, . One such example is the…
math.NA2018
Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions
Jamie Haddock, Deanna Needell
In applications like medical imaging, error correction, and sensor networks, one needs to solve large-scale linear systems that may be corrupted by a small number of arbitrarily la…