2 papers
cs.LG2026
Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty
Jinwoo Go, Xiaoning Qian, Byung-Jun Yoon
Bayesian optimal experimental design (BOED) selects experiments to maximize information gain about model parameters. However, in decision-critical settings, reducing parameter unce…
cs.CE2024
Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
Jinwoo Go, Peng Chen
We develop a new computational framework to solve sequential Bayesian optimal experimental design (SBOED) problems constrained by large-scale partial differential equations with in…