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2019 Journal Article Semi-supervised learning with summary statisticsQin, Huihui and Guo, Xin (2019). Semi-supervised learning with summary statistics. Analysis and Applications, 17 (5), 837-851. doi: 10.1142/S0219530519400037 |
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2018 Journal Article A Poisson-multinomial mixture approach to grouped and right-censored countsFu, Qiang, Guo, Xin and Land, Kenneth C. (2018). A Poisson-multinomial mixture approach to grouped and right-censored counts. Communications in Statistics: Theory and Methods, 47 (2), 427-447. doi: 10.1080/03610926.2017.1303736 |
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2017 Journal Article Distributed learning with regularized least squaresLin, Shao-Bo, Guo, Xin and Zhou, Ding-Xuan (2017). Distributed learning with regularized least squares. Journal of Machine Learning Research, 18 92, 1-31. |
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2017 Journal Article Thresholded spectral algorithms for sparse approximationsGuo, Zheng-Chu, Xiang, Dao-Hong, Guo, Xin and Zhou, DIng-Xuan (2017). Thresholded spectral algorithms for sparse approximations. Analysis and Applications, 15 (3), 433-455. doi: 10.1142/S0219530517500026 |
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2016 Journal Article Playing with the rules and making misleading statements: A response to Luo, Hodges, Winship, and powersLand, Kenneth C., Fu, Qiang, Guo, Xin, Jeon, Sun Y., Reither, Eric N. and Zang, Emma (2016). Playing with the rules and making misleading statements: A response to Luo, Hodges, Winship, and powers. American Journal of Sociology, 122 (3), 962-973. doi: 10.1086/689853 |
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2016 Journal Article The Local Edge Machine: inference of dynamic models of gene regulationMcGoff, Kevin A., Guo, Xin, Deckard, Anastasia, Kelliher, Christina M., Leman, Adam R., Francey, Lauren J., Hogenesch, John B., Haase, Steven B. and Harer, John L. (2016). The Local Edge Machine: inference of dynamic models of gene regulation. Genome Biology, 17 (1) 214, 214. doi: 10.1186/s13059-016-1076-z |
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2016 Journal Article Sparsity and error analysis of empirical feature-based regularization schemesGuo, Xin, Fan, Jun and Zhou, Ding-Xuan (2016). Sparsity and error analysis of empirical feature-based regularization schemes. Journal of Machine Learning Research, 17, 1-34. |
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2014 Journal Article Introduction to the Peptide Binding Problem of Computational Immunology: New ResultsShen, Wen-Jun, Wong, Hau-San, Xiao, Quan-Wu, Guo, Xin and Smale, Stephen (2014). Introduction to the Peptide Binding Problem of Computational Immunology: New Results. Foundations of Computational Mathematics, 14 (5), 951-984. doi: 10.1007/s10208-013-9173-9 |
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2014 Journal Article MHC binding prediction with KernelRLSpan and its variationsShen, Wen-Jun, Wei, Yu Ting, Guo, Xin, Smale, Stephen, Wong, Hau-San and Li, Shuai Cheng (2014). MHC binding prediction with KernelRLSpan and its variations. Journal of Immunological Methods, 406, 10-20. doi: 10.1016/j.jim.2014.02.007 |
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2012 Journal Article An empirical feature-based learning algorithm producing sparse approximationsGuo, Xin and Zhou, Ding-Xuan (2012). An empirical feature-based learning algorithm producing sparse approximations. Applied and Computational Harmonic Analysis, 32 (3), 389-400. doi: 10.1016/j.acha.2011.07.005 |
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2010 Journal Article Learning gradients via an early stopping gradient descent methodGuo, Xin (2010). Learning gradients via an early stopping gradient descent method. Journal of Approximation Theory, 162 (11), 1919-1944. doi: 10.1016/j.jat.2010.05.004 |
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2010 Journal Article Hermite learning with gradient dataShi, Lei, Guo, Xin and Zhou, Ding-Xuan (2010). Hermite learning with gradient data. Journal of Computational and Applied Mathematics, 233 (11), 3046-3059. doi: 10.1016/j.cam.2009.11.059 |
