44 citations · 153 across the 39 of their papers we have counts for
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stat.ML2022★ 1 cited
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Liam Hodgkinson, Chris van der Heide, Fred Roosta +1
Despite their importance for assessing reliability of predictions, uncertainty quantification (UQ) measures for machine learning models have only recently begun to be rigorously ch…
math.OC2022★ 2 cited
A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
Yang Liu, Fred Roosta
In this paper, we consider variants of Newton-MR algorithm for solving unconstrained, smooth, but non-convex optimization problems. Unlike the overwhelming majority of Newton-type…
math.OC2022
MINRES: From Negative Curvature Detection to Monotonicity Properties
Yang Liu, Fred Roosta
The conjugate gradient method (CG) has long been the workhorse for inner-iterations of second-order algorithms for large-scale nonconvex optimization. Prominent examples include li…