activity
20132026
most citedScalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet

171 citations · 211 across the 10 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

math.NA2022

Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models

Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer +1

Multilevel Stein variational gradient descent is a method for particle-based variational inference that leverages hierarchies of surrogate target distributions with varying costs a…

math.NA2022★ 2 cited

Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty

Alen Alexanderian, Ruanui Nicholson, Noemi Petra

We consider optimal experimental design (OED) for Bayesian nonlinear inverse problems governed by partial differential equations (PDEs) under model uncertainty. Specifically, we co…