1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Curvature in the Looking-Glass: Optimal Methods to Exploit Curvature of Expectation in the Loss Landscape
Jed A. Duersch, Tommie A. Catanach, Alexander Safonov +1
Harnessing the local topography of the loss landscape is a central challenge in advanced optimization tasks. By accounting for the effect of potential parameter changes, we can alt…
eess.SY2024
Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis
Niladri Das, Ross Guttromson, Tommie A. Catanach
Combined electric power system and High-Altitude Electromagnetic Pulse (HEMP) models are being developed to determine the effect of a HEMP on the US power grid. The work relies pri…
stat.ME2023★ 1 cited
Metrics for Bayesian Optimal Experiment Design under Model Misspecification
Tommie A. Catanach, Niladri Das
The conventional approach to Bayesian decision-theoretic experiment design involves searching over possible experiments to select a design that maximizes the expected value of a sp…