222 citations · 311 across the 6 of their papers we have counts for
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math.NA2017
Greedy Approaches to Symmetric Orthogonal Tensor Decomposition
Cun Mu, Daniel Hsu, Donald Goldfarb
Finding the symmetric and orthogonal decomposition (SOD) of a tensor is a recurring problem in signal processing, machine learning and statistics. In this paper, we review, establi…
math.OC2017
Using Negative Curvature in Solving Nonlinear Programs
Donald Goldfarb, Cun Mu, John Wright +1
Minimization methods that search along a curvilinear path composed of a non-ascent nega- tive curvature direction in addition to the direction of steepest descent, dating back to t…
math.NA2017★ 19 cited
Successive Rank-One Approximations for Nearly Orthogonally Decomposable Symmetric Tensors
Cun Mu, Daniel Hsu, Donald Goldfarb
Many idealized problems in signal processing, machine learning and statistics can be reduced to the problem of finding the symmetric canonical decomposition of an underlying symmet…