MS171A Surrogate and multifidelity enhanced optimization under uncertainty I
Main Organizer:
Dr.
Alex Gorodetsky
(
University of Michigan
, United States
)
Chaired by:
Prof. Boris Kramer (University of California San Diego , United States) , Dr. Dongjin Lee (Hanyang University , Republic of Korea)
Prof. Boris Kramer (University of California San Diego , United States) , Dr. Dongjin Lee (Hanyang University , Republic of Korea)
Scheduled presentations:
-
Stochastic gradient with least-squares control variates for smooth stochastic optimization problems
-
A Sequential Bayesian Approach to Sparse Gaussian Process Quantile Optimization: Application to Hydrofoil Design
-
Adaptive Surrogate Modeling for PDE-Constrained Optimization Under Uncertainty
-
Risk-Averse Design Optimization via Tail-Region Correction of a Multi-fidelity DD-GPCE Surrogate Model
-
Adaptive Pilot Sampling for Multi-Fidelity Stochastic Optimization with Applications to Optimal Experimental Design
-
Reducing Computational Cost in Reservoir Management: A Multi-Fidelity Approach for Optimization Under Geological Uncertainty
