8 citations · 9 across the 3 of their papers we have counts for
3 papers
math.OC2019
Safe Feature Elimination for Non-Negativity Constrained Convex Optimization
James Folberth, Stephen Becker
Inspired by recent work on safe feature elimination for -norm regularized least-squares, we develop strategies to eliminate features from convex optimization problems with non-n…
math.OC2017★ 8 cited
Efficient Adjoint Computation for Wavelet and Convolution Operators
James Folberth, Stephen Becker
First-order optimization algorithms, often preferred for large problems, require the gradient of the differentiable terms in the objective function. These gradients often involve l…
math.NA2017★ 1 cited
URV Factorization with Random Orthogonal System Mixing
Stephen Becker, James Folberth, Laura Grigori
The unpivoted and pivoted Householder QR factorizations are ubiquitous in numerical linear algebra. A difficulty with pivoted Householder QR is the communication bottleneck introdu…