Raymond K. W. Wong

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Chinmay HegdeNew York UniversityVerifierad e-postadress på nyu.edu
Thanh V. NguyenApplied Scientist, AWS AI/MLVerifierad e-postadress på amazon.com
Xiaojun MaoShanghai Jiao Tong UniversityVerifierad e-postadress på sjtu.edu.cn
Xiaoke ZhangAssociate Professor of Statistics, George Washington UniversityVerifierad e-postadress på email.gwu.edu
Daniel SelvaTexas A&M UniversityVerifierad e-postadress på tamu.edu
Ana Diaz ArtilesAssociate Professor, Texas A&M UniversityVerifierad e-postadress på tamu.edu
Curtis StorlieMayo ClinicVerifierad e-postadress på mayo.edu
Jie PengUniversity of California, DavisVerifierad e-postadress på ucdavis.edu
Fang YaoPeking UniversityVerifierad e-postadress på math.pku.edu.cn
Zhengyuan ZhuProfessor of Statistics, Iowa State UniversityVerifierad e-postadress på iastate.edu
Mikyoung JunUniversity of HoustonVerifierad e-postadress på central.uh.edu
Xiaodan Fan (Dan) 樊晓丹Professor of Statistics, The Chinese University of Hong KongVerifierad e-postadress på sta.cuhk.edu.hk
Shengtong HanMarquette University School of DentistryVerifierad e-postadress på marquette.edu
In Ho ChoAssociate Professor of Iowa State UniversityVerifierad e-postadress på iastate.edu
David A. van DykProfessor of Statistics, Imperial College LondonVerifierad e-postadress på imperial.ac.uk
Dan NettletonDistinguished Professor of Statistics, Iowa State UniversityVerifierad e-postadress på iastate.edu
Somak DuttaAssociate Professor, Iowa State University, Iowa, USAVerifierad e-postadress på iastate.edu
Yong GuanIowa State UniversityVerifierad e-postadress på iastate.edu
Song Xi ChenIowa State University and Peking University

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Raymond K. W. Wong

Texas A&M University

Verifierad e-postadress på tamu.edu - Startsida

Causal inference Functional data analysis Low-rank modeling Reinforcement learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
A Frequentist Approach to Computer Model Calibration RKW Wong, CB Storlie, TCM Lee Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017	108	2017
Kernel-based covariate functional balancing for observational studies RKW Wong, KCG Chan Biometrika 105 (1), 199-213, 2018	102	2018
Partially linear functional additive models for multivariate functional data RKW Wong, Y Li, Z Zhu Journal of the American Statistical Association 114 (525), 406-418, 2019	79	2019
Matrix Completion with Noisy Entries and Outliers RKW Wong, TCM Lee Journal of Machine Learning Research 18, 1-25, 2017	48	2017
Robust estimation for generalized additive models RKW Wong, F Yao, TCM Lee Journal of Computational and Graphical Statistics 23 (1), 270--289, 2014	44	2014
On the dynamics of gradient descent for autoencoders TV Nguyen, RKW Wong, C Hegde The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	33	2019
Matrix completion with covariate information X Mao, SX Chen, RKW Wong Journal of the American Statistical Association 114 (525), 198-210, 2019	33	2019
Implicit Sparse Regularization: The Impact of Depth and Early Stopping J Li, T Nguyen, C Hegde, RKW Wong Advances in Neural Information Processing Systems 34, 2021	30	2021
An important component to investigating STEM persistence: the development and validation of the science identity (SciID) scale ME Lockhart, OM Kwok, M Yoon, RKW Wong International Journal of STEM Education 9 (1), 1-17, 2022	27	2022
Locally linear embedding with additive noise J Wang, RKW Wong, TCM Lee Pattern recognition letters 123, 47-52, 2019	27	2019
Low-rank covariance function estimation for multidimensional functional data J Wang, RKW Wong, X Zhang Journal of the American Statistical Association 117 (538), 809-822, 2022	25	2022
Benefits of jointly training autoencoders: An improved neural tangent kernel analysis TV Nguyen, RKW Wong, C Hegde IEEE Transactions on Information Theory, 2021	25	2021
A full Bayesian approach for Boolean genetic network inference S Han, RKW Wong, TCM Lee, L Shen, SYR Li, X Fan PloS one 9 (12), e115806, 2014	21	2014
Projected state-action balancing weights for offline reinforcement learning J Wang, Z Qi, RKW Wong The Annals of Statistics 51 (4), 1639-1665, 2023	20	2023
An advanced statistical approach to data-driven earthquake engineering I Song, IH Cho, RKW Wong Journal of Earthquake Engineering 24 (8), 1245-1269, 2020	20	2020
Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI RKW Wong, TCM Lee, D Paul, J Peng The Annals of Applied Statistics 10 (3), 1137-1156, 2016	20	2016
Virtual assistant for anomaly treatment in long duration exploration missions P Dutta, O Balcells-Quintana, A Viros Martin, R Whittle, PK Josan, ... AIAA Scitech 2020 Forum, 2255, 2020	18	2020
Adjusting for spatial effects in genomic prediction X Mao, S Dutta, RKW Wong, D Nettleton Journal of Agricultural, Biological and Environmental Statistics 25, 699-718, 2020	15	2020
The impact of discharge inversion effect on learning sram power-up statistics Z Liao, GT Amariucai, RKW Wong, Y Guan 2017 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 31-36, 2017	15	2017
Broadcasted nonparametric tensor regression Y Zhou, RKW Wong, K He Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024	14	2024

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