Xin Guo 郭昕
Xin Guo 郭昕
School of Mathematics and Physics, The University of Queensland
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Cited by
Cited by
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
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), 1-13, 2016
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
Modeling interactive components by coordinate kernel polynomial models
X Guo, L Li, Q Wu
Mathematical Foundations of Computing 3 (4), 263, 2020
Hermite learning with gradient data
L Shi, X Guo, DX Zhou
Journal of computational and applied mathematics 233 (11), 3046-3059, 2010
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
Optimizing count responses in surveys: A machine-learning approach
Q Fu, X Guo, KC Land
Sociological methods & research 49 (3), 637-671, 2020
Distributed minimum error entropy algorithms
X Guo, T Hu, Q Wu
Journal of machine learning research 21 (126), 1-31, 2020
Sparsity and error analysis of empirical feature-based regularization schemes
X Guo, J Fan, DX Zhou
Journal of Machine Learning Research, 2016
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
Learning gradients via an early stopping gradient descent method
X Guo
Journal of Approximation Theory 162 (11), 1919-1944, 2010
Agreeing to disagree: Choosing among eight topic-modeling methods
Q Fu, Y Zhuang, J Gu, Y Zhu, X Guo
Big Data Research 23, 100173, 2021
Modified Poisson regression analysis of grouped and right‐censored counts
Q Fu, TY Zhou, X Guo
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2021
Adolescent marijuana use in the United States and structural breaks: an age-period-cohort analysis, 1991–2018
J Gu, X Guo, G Veenstra, Y Zhu, Q Fu
American journal of epidemiology 190 (6), 1056-1063, 2021
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
The uses and abuses of an age-period-cohort method: On the linear algebra and statistical properties of intrinsic and related estimators
Q Fu, X Guo, SY Jeon, EN Reither, E Zang, KC Land
Mathematical foundations of computing 4 (1), 45, 2021
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
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