Yu Duan

Follow

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	A Kronecker Product Accelerated Efficient Sparse Gaussian Process (E-Sgp) for Flow Emulation	2024	Yu Duan M.D. Eaton Michael Bluck
+	A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation	2023	Yu Duan Matthew D. Eaton Michael Bluck
+ PDF Chat	Fixed inducing points online Bayesian calibration for computer models with an application to a scale-resolving CFD simulation	2021	Yu Duan Matthew D. Eaton Michael Bluck

Common Coauthors

Coauthor	Papers Together
Michael Bluck	3
Matthew D. Eaton	2
M.D. Eaton	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	On the Complexity of Best Arm Identification in Multi-Armed Bandit Models	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier	1
+	Implementing the Nelder-Mead simplex algorithm with adaptive parameters	2010	Fuchang Gao Lixing Han	1
+ PDF Chat	Adaptive Design and Analysis of Supercomputer Experiments	2009	Robert B. Gramacy Herbert K. H. Lee	1
+	Revisiting the Nystrom Method for Improved Large-Scale Machine Learning	2013	Alex Gittens Michael W. Mahoney	1
+	An efficient Bayesian uncertainty quantification approach with application to k-ω-γ transition modeling	2017	Jincheng Zhang Song Fu	1
+ PDF Chat	Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory	2018	Xu Wu Tomasz Kozłowski Hadi Meidani Koroush Shirvan	1
+ PDF Chat	Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder	2019	Andrea Cortesi Paul G. Constantine Thierry Magin Pietro Marco Congedo	1
+ PDF Chat	Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE	2018	Xu Wu Tomasz Kozłowski Hadi Meidani Koroush Shirvan	1
+ PDF Chat	Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification	2019	Xu Wu Koroush Shirvan Tomasz Kozłowski	1
+ PDF Chat	Computer Model Calibration with Large Non-Stationary Spatial Outputs: Application to the Calibration of a Climate Model	2018	Kai‐Lan Chang Serge Guillas	1
+	Gaussian Processes for Big Data	2013	James Hensman Nicolò Fusi Neil D. Lawrence	1
+ PDF Chat	A Bayesian Calibration–Prediction Method for Reducing Model-Form Uncertainties with Application in RANS Simulations	2016	Jinlong Wu Jianxun Wang Heng Xiao	1
+ PDF Chat	When Gaussian Process Meets Big Data: A Review of Scalable GPs	2020	Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai	1
+	Revisiting the Nyström method for improved large-scale machine learning	2016	GittensAlex W MahoneyMichael	1
+ PDF Chat	Computer model validation with functional output	2007	M. J. Bayarri D.A. Walsh James O. Berger John A. Cafeo Gonzalo García‐Donato F. Liu Jesús Palomo Revathy Parthasarathy Rui Paulo J. Sacks	1
+	Stochastic Variational Inference	2012	Matt Hoffman David M. Blei Chong Wang John Paisley	1