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C. F. Jeff WuGeorgia Institute of TechnologyPatvirtintas el. paštas isye.gatech.edu
Wenjia WangHong Kong University of Science and Technology (Guangzhou)Patvirtintas el. paštas ust.hk
V. Roshan JosephA. Russell Chandler III Chair and Professor of Industrial and Systems Engineering, Georgia TechPatvirtintas el. paštas gatech.edu
Liang DingFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Yu DingAnderson-Interface Chair and Professor, School of Industrial & Systems Engineering, Georgia TechPatvirtintas el. paštas isye.gatech.edu
Yan WangBeijing University of TechnologyPatvirtintas el. paštas bjut.edu.cn
Shahin ShahrampourAssistant Professor, Northeastern UniversityPatvirtintas el. paštas northeastern.edu
Haoyuan ChenTexas A&M UniversityPatvirtintas el. paštas tamu.edu
Rachel CummingsColumbia UniversityPatvirtintas el. paštas columbia.edu
Yajun MeiNew York University and Georgia Institute of TechnologyPatvirtintas el. paštas nyu.edu
Sara KrehbielAssistant Professor of Mathematics and Computer Science, Santa Clara UniversityPatvirtintas el. paštas scu.edu
Tirthankar DasguptaRutgers UniversityPatvirtintas el. paštas rutgers.edu
Matt PlumleeAmazonPatvirtintas el. paštas amazon.com
Gecheng ChenShenzhen UniversityPatvirtintas el. paštas szu.edu.cn
Chen, ZhimingProfessor of Mathematics, Chinese Academy of SciencesPatvirtintas el. paštas lsec.cc.ac.cn
Abhinav PrakashStaff Data Scientist at Walmart LabsPatvirtintas el. paštas walmart.com
Li GuApplied Scientist, Amazon.comPatvirtintas el. paštas amazon.com
Fuyang QUThe Chinese University of Hong KongPatvirtintas el. paštas link.cuhk.edu.hk
Lanlan YuAssociate Professor, Chinese Academy of Medical Sciences and Peking Union Medical CollegePatvirtintas el. paštas ibms.pumc.edu.cn
Paul S. WeissUC Presidential Chair, Dist Prof of Chem & Biochem, Bioeng, and Matl Sci & Eng, UCLAPatvirtintas el. paštas cnsi.ucla.edu

Stebėti

Rui Tuo

Texas A&M University

Patvirtintas el. paštas tamu.edu - Pagrindinis puslapis

Data science Computer experiments Uncertainty quantification Machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Efficient calibration for imperfect computer models R Tuo, CFJ Wu	171	2015
A theoretical framework for calibration in computer models: Parametrization, estimation and convergence properties R Tuo, CF Jeff Wu SIAM/ASA Journal on Uncertainty Quantification 4 (1), 767-795, 2016	138	2016
Sequential exploration of complex surfaces using minimum energy designs VR Joseph, T Dasgupta, R Tuo, CFJ Wu Technometrics 57 (1), 64-74, 2015	107	2015
On prediction properties of kriging: Uniform error bounds and robustness W Wang, R Tuo, CF Jeff Wu Journal of the American Statistical Association 115 (530), 920-930, 2020	69	2020
Building accurate emulators for stochastic simulations via quantile kriging M Plumlee, R Tuo Technometrics 56 (4), 466-473, 2014	63	2014
Surrogate modeling of computer experiments with different mesh densities R Tuo, CFJ Wu, D Yu Technometrics 56 (3), 372-380, 2014	62	2014
Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in Neural Information Processing Systems, 10825-10834, 2018	42	2018
Kriging prediction with isotropic Matérn correlations: Robustness and experimental designs R Tuo, W Wang Journal of Machine Learning Research 21 (187), 1-38, 2020	39	2020
Deterministic sampling of expensive posteriors using minimum energy designs VR Joseph, D Wang, L Gu, S Lyu, R Tuo Technometrics, 2019	38	2019
Principles of inter-amino-acid recognition revealed by binding energies between homogeneous oligopeptides H Du, X Hu, H Duan, L Yu, F Qu, Q Huang, W Zheng, H Xie, J Peng, ... ACS Central Science 5 (1), 97-108, 2019	29	2019
Adjustments to computer models via projected kernel calibration R Tuo SIAM/ASA Journal on Uncertainty Quantification 7 (2), 553-578, 2019	27	2019
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation Y Wang, X Yue, R Tuo, JH Hunt, J Shi	26	2020
On the improved rates of convergence for Matérn-type kernel ridge regression with application to calibration of computer models R Tuo, Y Wang, CF Jeff Wu SIAM/ASA Journal on Uncertainty Quantification 8 (4), 1522-1547, 2020	26	2020
Optimization of multi-fidelity computer experiments via the EQIE criterion X He, R Tuo, CFJ Wu Technometrics 59 (1), 58-68, 2017	26	2017
Stochastic convergence of a nonconforming finite element method for the thin plate spline smoother for observational data Z Chen, R Tuo, W Zhang SIAM Journal on Numerical Analysis 56 (2), 635-659, 2018	19	2018
A review on computer model calibration CL Sung, R Tuo Wiley Interdisciplinary Reviews: Computational Statistics 16 (1), e1645, 2024	15	2024
The temporal overfitting problem with applications in wind power curve modeling A Prakash, R Tuo, Y Ding Technometrics 65 (1), 70-82, 2023	14	2023
Projection pursuit Gaussian process regression G Chen, R Tuo IISE Transactions 55 (9), 901-911, 2023	13	2023
Prediction based on the Kennedy-O'Hagan calibration model: Asymptotic consistency and other properties R Tuo, CFJ Wu Statistica Sinica, 743-759, 2018	13	2018
Hypothesis tests with functional data for surface quality change detection in surface finishing processes S Jin, R Tuo, A Tiwari, S Bukkapatnam, C Aracne-Ruddle, A Lighty, ... IISE transactions 55 (9), 940-956, 2023	12	2023

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