Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - International Journal for Uncertainty …, 2014 - dl.begellhouse.com
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

X Huan, Y Marzouk - 2014 - dspace.mit.edu
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

[PDF][PDF] Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv preprint arXiv:1212.2228, 2012 - researchgate.net
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv preprint arXiv:1212.2228, 2012 - arxiv.org
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

[PDF][PDF] Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv preprint arXiv:1212.2228, 2012 - Citeseer
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

X Huan, Y Marzouk - International Journal for Uncertainty …, 2014 - dl.begellhouse.com
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

[引用][C] GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

X Huan, Y Marzouk - International Journal for Uncertainty Quantification, 2014 - cir.nii.ac.jp
GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL
DESIGN | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …

[PDF][PDF] Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv preprint arXiv:1212.2228, 2012 - core.ac.uk
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

[PDF][PDF] Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv preprint arXiv:1212.2228, 2012 - academia.edu
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …

Gradient-based stochastic optimization methods in Bayesian experimental design

X Huan, YM Marzouk - arXiv e-prints, 2012 - ui.adsabs.harvard.edu
Optimal experimental design (OED) seeks experiments expected to yield the most useful
data for some purpose. In practical circumstances where experiments are time-consuming or …