34 citations · 163 across the 27 of their papers we have counts for
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math.NA2018
Find the dimension that counts: Fast dimension estimation and Krylov PCA
Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad
High dimensional data and systems with many degrees of freedom are often characterized by covariance matrices. In this paper, we consider the problem of simultaneously estimating t…
math.NA2018★ 1 cited
Spectrum-Adapted Polynomial Approximation for Matrix Functions
Li Fan, David I Shuman, Shashanka Ubaru +1
We propose and investigate two new methods to approximate for large, sparse, Hermitian matrices . The main idea behind both methods is to first estimat…
cs.LG2018
Provably convergent acceleration in factored gradient descent with applications in matrix sensing
Tayo Ajayi, David Mildebrath, Anastasios Kyrillidis +3
We present theoretical results on the convergence of \emph{non-convex} accelerated gradient descent in matrix factorization models with -norm loss. The purpose of this work…