458 citations · 1.4k across the 32 of their papers we have counts for
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stat.ML2023★ 5 cited
Variational Sequential Optimal Experimental Design using Reinforcement Learning
Wanggang Shen, Jiayuan Dong, Xun Huan
We present variational sequential optimal experimental design (vsOED), a novel method for optimally designing a finite sequence of experiments within a Bayesian framework with info…
stat.ML2018★ 67 cited
Compressive sensing adaptation for polynomial chaos expansions
Panagiotis Tsilifis, Xun Huan, Cosmin Safta +5
Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation of the underlying Gaussian germ. Several rotations have been proposed in the literature resulting in adapta…
stat.ML2011★ 458 cited
Simulation-based optimal Bayesian experimental design for nonlinear systems
Xun Huan, Youssef M. Marzouk
The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction, particularly in situations where experiments are time-co…