Wenjia Wang

发表

Uncertainty Quantification for Bayesian Optimization

Rui Tuo, Wenjia Wang, 2020, AISTATS.

Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process

C. F. Wu, Xiaowei Yue, Wenjia Wang, 2020, SIAM/ASA J. Uncertain. Quantification.

On Prediction Properties of Kriging: Uniform Error Bounds and Robustness

C. F. Jeff Wu, Rui Tuo, Wenjia Wang, 2017, Journal of the American Statistical Association.

Reduced Rank Multivariate Kernel Ridge Regression

Yi‐Hui Zhou, Wenjia Wang, 2020, 2005.01559.

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network pdf

Wenjia Wang, Guang Cheng, Cong Lin, 2020, AISTATS.

Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression

Bing-Yi Jing, Wenjia Wang, 2022, J. Mach. Learn. Res..

Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.

Bing-Yi Jing, Wenjia Wang, 2021, 2104.09778.

A Double Penalty Model for Ensemble Learning

Yi‐Hui Zhou, Wenjia Wang, Wenjia Wang, 2022, Mathematics.

Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems

Wenjia Wang, I. Harris, F. Cakoni, 2022, Statistica Sinica.

Understanding Square Loss in Training Overparametrized Neural Network Classifiers pdf

Zhenguo Li, Jun Wang, Wenjia Wang, 2021, NeurIPS.

Controlling Sources of Inaccuracy in Stochastic Kriging

Wenjia Wang, Benjamin Haaland, Wenjia Wang, 2017, Technometrics.

Uncertainty Quantification for Bayesian Optimization

Rui Tuo, Wenjia Wang, 2020, International Conference on Artificial Intelligence and Statistics.

Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs

Rui Tuo, Wenjia Wang, Rui Tuo, 2019, J. Mach. Learn. Res..

On the inference of applying Gaussian process modeling to a deterministic function

Wenjia Wang, Wenjia Wang, 2020, Electronic Journal of Statistics.

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network pdf

Guang Cheng, Wenjia Wang, Tianyang Hu, 2020, AISTATS.

High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces

Shahin Shahrampour, Rui Tuo, Wenjia Wang, 2020, 2006.03696.

Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors

Yi‐Hui Zhou, Wenjia Wang, 2020, J. Multivar. Anal..

Imbalanced Sparse Canonical Correlation Analysis

Wenjia Wang, Yi-Hui Zhou, Yi‐Hui Zhou, 2020 .

A Double Penalty Model for Interpretability

Wenjia Wang, Yi-Hui Zhou, Yi‐Hui Zhou, 2019, 1909.06263.

Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments

Chih-Li Sung, Matthew Plumlee, Wenjia Wang, 2017, Journal of the American Statistical Association.

A Framework for Controlling Sources of Inaccuracy in Gaussian Process Emulation of Deterministic Computer Experiments

Wenjia Wang, Benjamin Haaland, Vaibhav Maheshwari, 2014, SIAM/ASA J. Uncertain. Quantification.

Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.

Bing-Yi Jing, Wenjia Wang, Bing-Yi Jing, 2021, 2104.09778.

Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs

Rui Tuo, Wenjia Wang, Wenjia Wang, 2019, J. Mach. Learn. Res..