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Preprint Oct 2026

Active Pilot Sampling for Multi-fidelity Estimation in Stochastic Optimization

Stochastic optimization with high-fidelity nonlinear models is often computationally prohibitive because each objective evaluation requires sampling-based uncertainty quantification inside an outer optimization loop. Multi-fidelity estimators, such as approximate control variates (ACV), can reduce this cost by exploiti...

Thomas E. Coons, Aniket Jivani, Xun Huan · 0 citations
Preprint Aug 2026

Variational Goal-Oriented Optimal Experimental Design for Mixed-Distribution Quantities of Interest: Application to Ship Roll Safety

Goal-oriented optimal experimental design (GO-OED) selects experiments according to the expected information gain (EIG) about a quantity of interest (QoI) rather than the full parameter vector. This work develops a variational GO-OED formulation for mixed discrete-continuous QoI laws arising in probabilistic mechanics...

Chen Cheng, Xun Huan, Yulin Pan · 0 citations
Preprint Aug 2026

Matching Urban Flood Sensor Placement to Monitoring Objectives Using Bayesian Optimal Experimental Design

Flood-monitoring sensors are often placed according to coverage, access, or expected inundation. However, the value of a measurement depends on the prediction or decision it is intended to inform. Using tRIBS-Urban simulations and a neural-network surrogate of the August 2014 metropolitan Detroit flood, we examine how...

Chen Cheng, V. Tran, Jiayuan Dong et al. · 0 citations

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