2 papers
eess.SY2025
A Comparative Analysis of Robust and Reliable Designs Using the Compromise Decision Support Problem: A Case Study in Hot Rod Rolling Processes
Maryam Ghasemzadeh, H M Dilshad Alam Digonta, Anand Balu Nellippallil +1
Design under uncertainty is a challenging problem, as a systems performance can be highly sensitive to variations in input parameters and model uncertainty. A conventional approach…
cs.LG2025
NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Maryam Ghasemzadeh, Anton van Beek
Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical…