Abstract: Given uncertainty in the input model and parameters of a simulation study, the goal of the simulation study often becomes the estimation of a conditional expectation. The conditional ...

Abstract: Resource-constrained data mining introduces many constraints when learning from large datasets. It is often not practical or possible to keep the entire data set in main memory and often the ...

This repository hosts the codebase associated with the research paper "Scalable method for Bayesian experimental design without integrating over posterior distribution" by Vinh Hoang, Luis Espath, ...