Xin Guo 郭昕
Xin Guo 郭昕
Assistant Professor, The Hong Kong Polytechnic University
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Distributed learning with regularized least squares
SB Lin, X Guo, DX Zhou
The Journal of Machine Learning Research 18 (1), 3202-3232, 2017
Introduction to the peptide binding problem of computational immunology: New results
WJ Shen, HS Wong, QW Xiao, X Guo, S Smale
Foundations of Computational Mathematics 14 (5), 951-984, 2014
Thresholded spectral algorithms for sparse approximations
ZC Guo, DH Xiang, X Guo, DX Zhou
Analysis and Applications 15 (03), 433-455, 2017
An empirical feature-based learning algorithm producing sparse approximations
X Guo, DX Zhou
Applied and Computational Harmonic Analysis 32 (3), 389-400, 2012
Playing with the rules and making misleading statements: a response to Luo, Hodges, Winship, and Powers
KC Land, E Zang, Q Fu, X Guo, SY Jeon, EN Reither
American Journal of Sociology 122 (3), 962-973, 2016
The Local Edge Machine: inference of dynamic models of gene regulation
KA McGoff, X Guo, A Deckard, CM Kelliher, AR Leman, LJ Francey, ...
Genome biology 17 (1), 214, 2016
Hermite learning with gradient data
L Shi, X Guo, DX Zhou
Journal of computational and applied mathematics 233 (11), 3046-3059, 2010
MHC binding prediction with KernelRLSpan and its variations
WJ Shen, YT Wei, X Guo, S Smale, HS Wong, SC Li
Journal of immunological methods 406, 10-20, 2014
Optimizing count responses in surveys: A machine-learning approach
Q Fu, X Guo, KC Land
Sociological Methods & Research 49 (3), 637-671, 2020
A Poisson-multinomial mixture approach to grouped and right-censored counts
Q Fu, X Guo, KC Land
Communications in Statistics-Theory and Methods 47 (2), 427-447, 2018
Sparsity and error analysis of empirical feature-based regularization schemes
X Guo, J Fan, DX Zhou
The Journal of Machine Learning Research 17 (1), 3058-3091, 2016
Learning gradients via an early stopping gradient descent method
X Guo
Journal of Approximation Theory 162 (11), 1919-1944, 2010
Distributed minimum error entropy algorithms
X Guo, T Hu, Q Wu
Journal of machine learning research 21 (126), 1-31, 2020
Semi-supervised learning with summary statistics
H Qin, X Guo
Analysis and Applications 17 (05), 837-851, 2019
Kernel-based L_2-Boosting with Structure Constraints
Y Wang, X Guo, SB Lin
arXiv preprint arXiv:2009.07558, 2020
A numerical method to compute Fisher information for a special case of heterogeneous negative binomial regression
X Guo, Q Fu, Y Wang, KC Land
Communications on Pure & Applied Analysis 19 (8), 4179, 2020
Search for K: Assessing Five Topic-Modeling Approaches to 120,000 Canadian Articles
Q Fu, Y Zhuang, J Gu, Y Zhu, H Qin, X Guo
2019 IEEE International Conference on Big Data (Big Data), 3640-3647, 2019
Modeling interactive components by coordinate kernel polynomial models
X Guo, L Li, Q Wu
Mathematical Foundations of Computing, 0, 2019
Learning gradients via gradient descent method
X Guo
City University of Hong Kong, 2008
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Artiklar 1–19