32 citations · 88 across the 8 of their papers we have counts for
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stat.ML2018
Tensor Methods for Nonlinear Matrix Completion
Greg Ongie, Daniel Pimentel-Alarcón, Laura Balzano +2
In the low-rank matrix completion (LRMC) problem, the low-rank assumption means that the columns (or rows) of the matrix to be completed are points on a low-dimensional linear alge…
stat.ML2017★ 32 cited
Algebraic Variety Models for High-Rank Matrix Completion
Greg Ongie, Rebecca Willett, Robert D. Nowak +1
We consider a generalization of low-rank matrix completion to the case where the data belongs to an algebraic variety, i.e. each data point is a solution to a system of polynomial…