This article characterizes the rank-one factorization of auto-correlatio...
In this note we consider the problem of ParaTuck-2 decomposition of a co...
In this paper we offer a review and bibliography of work on Hankel low-r...
Gaussian process (GP) regression is a fundamental tool in Bayesian
stati...
The tensor power method generalizes the matrix power method to higher or...
Determinantal point processes (DPPs) are repulsive point processes where...
Determinantal point processes (DPPs) are a class of repulsive point
proc...
Activation functions (AFs) are an important part of the design of neural...
In this paper, we propose a gradient based block coordinate descent (BCD...
Jacobi-type algorithms for simultaneous approximate diagonalization of
s...
In this paper, we propose a Jacobi-type algorithm to solve the low rank
...
Kernel matrices are of central importance to many applied fields. In thi...
In this paper we consider the low-rank matrix completion problem with
sp...
In this paper, we study a polynomial decomposition model that arises in
...
We consider the problem of fitting a set of points in Euclidean space by...