We perturb a real matrix A of full column rank, and derive lower bounds ...
We analyse the calibration of BayesCG under the Krylov prior, a probabil...
We advocate a numerically reliable and accurate approach for practical
p...
We analyze the forward error in the floating point summation of real num...
For real symmetric matrices that are accessible only through matrix vect...
We analyse the forward error in the floating point summation of real num...
The explosion of biobank data offers immediate opportunities for
gene-en...
This paper presents a probabilistic perspective on iterative methods for...
We present a Conjugate Gradient (CG) implementation of the probabilistic...
Multivariate multiple linear regression (MMLR), which occurs in a number...
Probabilistic models are proposed for bounding the forward error in the
...
Several recent works have developed a new, probabilistic interpretation ...
We analyze the uncertainties in the minimum norm solution of full-rank
r...
Given a real matrix A with n columns, the problem is to approximate the ...