# keywords[]
3403 Macromolecular And Materials Chemistry

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
4903 Numerical And Computational Mathematics

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
4603 Computer Vision And Multimedia Computation

# educationAndTraining[].organization.label
University of Science and Technology of China - (Hefei, China)

# educationAndTraining[].organization.label
Chinese Academy of Sciences - (Beijing, Beijing, China)

# educationAndTraining[].organization.label
Chinese Academy of Sciences - (Beijing, Beijing, China)

# publications[].label
Adjustments to Computer Models via Projected Kernel Calibration

# publications[].label
Inverse Design of Nonlinear Mechanics of Bio-inspired Materials Through Interface Engineering and Bayesian Optimization

# publications[].label
A finite element method for elliptic problems with observational   boundary data

# publications[].label
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties

# publications[].publisher
Society for Industrial & Applied Mathematics (SIAM)

# publications[].publisher
Statistica Sinica (Institute of Statistical Science)

# publications[].label
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs

# publications[].label
PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES

# publications[].publisher
Statistica Sinica (Institute of Statistical Science)

# publications[].label
Efficient Calibration for Imperfect Computer Models

# publications[].label
On the Improved Rates of Convergence for Matern-Type Kernel Ridge Regression with Application to Calibration of Computer Models

# publications[].publisher
Society for Industrial & Applied Mathematics (SIAM)

# publications[].label
On Prediction Properties of Kriging: Uniform Error Bounds and Robustness

# publications[].label
PIG PROCESS: JOINT MODELING OF POINT AND INTEGRAL RESPONSES IN COMPUTER EXPERIMENTS

# publications[].label
Beyond State Space Representation: A General Theory for Kernel Packets

# publications[].label
Sequential Exploration of Complex Surfaces Using Minimum Energy Designs

# publications[].label
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction

# publications[].label
Semi-parametric adjustment to computer models

# publications[].label
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matern Correlations

# publications[].label
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

# publications[].label
Fixed-budget optimal designs for multi-fidelity computer experiments

# publications[].label
Stochastic Convergence of A Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data

# publications[].label
A sparse expansion for deep Gaussian processes

# publications[].label
A BALANCED OVERSAMPLING FINITE ELEMENT METHOD FOR ELLIPTIC PROBLEMS WITH OBSERVATIONAL BOUNDARY DATA

# publications[].label
A Sparse Expansion For Deep Gaussian Processes

# publications[].label
Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation

# publications[].label
Aggregation Models with Optimal Weights for Distributed Gaussian Processes

# publications[].label
Gaussian process aided function comparison using noisy scattered data

# publications[].label
Comment: A Brownian Motion Model for Stochastic Simulation With Tunable Precision

# publications[].label
The temporal overfitting problem with applications in wind power curve modeling

# publications[].label
Renewing Iterative Self-Labeling Domain Adaptation With Application to the Spine Motion Prediction

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data

# publications[].label
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids

# publications[].label
Generalization Guarantees for Sparse Kernel Approximation with Entropic   Optimal Features

# publications[].label
Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties

# publications[].label
EFFECTIVE MODEL CALIBRATION VIA SENSIBLE VARIABLE IDENTIFICATION AND ADJUSTMENT WITH APPLICATION TO COMPOSITE FUSELAGE SIMULATION

# publications[].label
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

# publications[].label
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth   Sobolev Spaces

# publications[].label
STOCHASTIC CONVERGENCE OF A NONCONFORMING FINITE ELEMENT METHOD FOR THE THIN PLATE SPLINE SMOOTHER FOR OBSERVATIONAL DATA

# publications[].publisher
Society for Industrial & Applied Mathematics (SIAM)

# publications[].label
Single and Multiple Change-Point Detection with Differential Privacy

# publications[].label
EFFICIENT CALIBRATION FOR IMPERFECT COMPUTER MODELS

# publications[].label
Projection Pursuit Gaussian Process Regression

# publications[].label
Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion

# publications[].label
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling

# publications[].label
Adjustments to Computer Models via Projected Kernel Calibration

# publications[].publisher
Society for Industrial & Applied Mathematics (SIAM)

# publications[].label
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features

# publications[].label
A theoretical framework for calibration in computer models: parametrization, estimation and convergence properties

# publications[].label
Building Accurate Emulators for Stochastic Simulations via Quantile Kriging

# publications[].label
Asymptotic Theory for Linear Functionals of Kernel Ridge Regression

# publications[].label
Hypothesis tests with functional data for surface quality change detection in surface finishing processes

# publications[].label
Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes

# publications[].label
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models

# publications[].label
Fixed-budget optimal designs for multi-fidelity computer experiments

# publications[].label
Projection pursuit Gaussian process regression

# publications[].label
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner

# publications[].label
The temporal overfitting problem with applications in wind power curve   modeling

# publications[].label
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces

# publications[].label
Specific Brain Morphometric Changes in Spinal Cord Injury: A Voxel-Based Meta-Analysis of White and Gray Matter Volume.

# publications[].label
A finite element method for elliptic problems with observational boundary data

# publications[].label
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs

# publications[].label
Language Models as Semantic Augmenters for Sequential Recommenders

# publications[].label
Kriging prediction with isotropic Matrn correlations: Robustness and experimental design

# publications[].label
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features

# publications[].label
On the Improved Rates of Convergence for Matrn-type Kernel Ridge Regression, with Application to Calibration of Computer Models

# publications[].label
Projection Pursuit Gaussian Process Regression

# publications[].label
Surrogate Modeling of Computer Experiments With Different Mesh Densities

# publications[].label
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features

# publications[].label
Inverse design of nonlinear mechanics of bio-inspired materials through interface engineering and Bayesian optimization

# publications[].label
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation

# publications[].label
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models

# publications[].label
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matrn Correlations

# researcherOn[].label
Collaborative Research: Uncertainty Quantification, Optimal Designs and Calibration in Computer Experiments

# researcherOn[].awardedBy.label
Directorate for Mathematical & Physical Sciences - (Arlington, Virginia, United States)