activity
20142026
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 · 329 across the 11 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

stat.ML2022★ 5 cited

Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets

Jinwoo Go, Tobin Isaac

The ranking of experiments by expected information gain (EIG) in Bayesian experimental design is sensitive to changes in the model's prior distribution, and the approximation of EI…

cs.CE2022

Inferring ice sheet damage models from limited observations using CRIKit: the Constitutive Relation Inference Toolkit

Grant Bruer, Tobin Isaac

We examine the prospect of learning ice sheet damage models from observational data. Our approach, implemented in CRIKit (the Constitutive Relation Inference Toolkit), is to model…