Articles with public access mandates - Wenjia WangLearn more
Not available anywhere: 1
Solving spatial-fractional partial differential diffusion equations by spectral method
N Nie, J Huang, W Wang, Y Tang
Journal of Statistical Computation and Simulation 84 (6), 1173-1189, 2014
Mandates: National Natural Science Foundation of China
Available somewhere: 10
On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
W Wang, R Tuo, CJ Wu
Journal of the American Statistical Association, 1-38, 2019
Mandates: US National Science Foundation, National Natural Science Foundation of China
Kriging prediction with isotropic Mat\'ern correlations: robustness and experimental design
R Tuo*, W Wang*, (*equal contributions)
J. Mach. Learn. Res. 21, 2019
Mandates: US National Science Foundation
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
W Wang, BY Jing
Journal of Machine Learning Research 23 (193), 1-67, 2022
Mandates: National Natural Science Foundation of China
Controlling sources of inaccuracy in stochastic kriging
W Wang, B Haaland
Technometrics, 2019
Mandates: US National Science Foundation
Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments
CL Sung*, W Wang*, M Plumlee, B Haaland, (*equal contributions)
Journal of the American Statistical Association, 1-32, 2019
Mandates: US National Science Foundation
A framework for controlling sources of inaccuracy in Gaussian process emulation of deterministic computer experiments
B Haaland, W Wang, V Maheshwari
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 497-521, 2018
Mandates: US National Science Foundation
Gaussian processes with input location error and applications to the composite parts assembly process
W Wang, X Yue, B Haaland, CF Jeff Wu
SIAM/ASA Journal on Uncertainty Quantification 10 (2), 619-650, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Differentiable and scalable generative adversarial models for data imputation
Y Wu, J Wang, X Miao, W Wang, J Yin
IEEE Transactions on Knowledge and Data Engineering, 2023
Mandates: National Natural Science Foundation of China
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions
W Wang*, Y Wang*, X Zhang*, (*equal contributions)
arXiv preprint arXiv:2201.02958, 2022
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Uncertainty Quantification for Bayesian Optimization
R Tuo*, W Wang*, (*equal contributions)
he 25th International Conference on Artificial Intelligence and Statistics, 2020
Mandates: US National Science Foundation
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