28 citations · 85 across the 30 of their papers we have counts for
3 papers · 1 filter
A DEIM-CUR factorization with iterative SVDs
Perfect Y. Gidisu, Michiel E. Hochstenbach
A CUR factorization is often utilized as a substitute for the singular value decomposition (SVD), especially when a concrete interpretation of the singular vectors is challenging.…
Limited memory gradient methods for unconstrained optimization
Giulia Ferrandi, Michiel E. Hochstenbach
The limited memory steepest descent method (Fletcher, 2012) for unconstrained optimization problems stores a few past gradients to compute multiple stepsizes at once. We review thi…
On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality
Lu Xia, Michiel E. Hochstenbach, Stefano Massei
When training neural networks with low-precision computation, rounding errors often cause stagnation or are detrimental to the convergence of the optimizers; in this paper we study…