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Xin Guo 0003
Person information
- unicode name: 郭昕
- affiliation: Hong Kong Polytechnic University, Department of Applied Mathematics, Hong Kong
- affiliation (2013 - 2014): Duke University, Department of Statistical Science, Durham, NC, USA
- affiliation (PhD 2011): City University of Hong Kong, Department of Mathematics, Hong Kong
Other persons with the same name
- Xin Guo — disambiguation page
- Xin Guo 0001
— University of California, Berkeley, CA, USA
- Xin Guo 0002 — California Institute of Technology, Jet Propulsion Lab., Pasadena, CA, USA
- Xin Guo 0004
- Xin Guo 0005
- Xin Guo 0006
- Xin Guo 0007 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Xin Guo 0008
- Xin Guo 0009
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2020 – today
- 2022
- [j11]Xiaming Chen, Bohao Tang, Jun Fan, Xin Guo
Online gradient descent algorithms for functional data learning. J. Complex. 70: 101635 (2022) - [i4]Xin Guo, Zheng-Chu Guo, Lei Shi:
Capacity dependent analysis for functional online learning algorithms. CoRR abs/2209.12198 (2022) - 2021
- [j10]Qiang Fu
Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods. Big Data Res. 23: 100173 (2021) - [j9]Qiang Fu
The uses and abuses of an age-period-cohort method: On the linear algebra and statistical properties of intrinsic and related estimators. Math. Found. Comput. 4(1): 45 (2021) - 2020
- [j8]Xin Guo
Distributed Minimum Error Entropy Algorithms. J. Mach. Learn. Res. 21: 126:1-126:31 (2020) - [j7]Xin Guo
Modeling interactive components by coordinate kernel polynomial models. Math. Found. Comput. 3(4): 263-277 (2020) - [j6]Xin Guo
Preface of the special issue on analysis in data science: Methods and applications. Math. Found. Comput. 3(4): i-ii (2020) - [i3]Yao Wang, Xin Guo, Shao-Bo Lin:
Kernel-based L_2-Boosting with Structure Constraints. CoRR abs/2009.07558 (2020)
2010 – 2019
- 2019
- [c1]Qiang Fu
Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles. IEEE BigData 2019: 3640-3647 - 2017
- [j5]Shaobo Lin, Xin Guo, Ding-Xuan Zhou:
Distributed Learning with Regularized Least Squares. J. Mach. Learn. Res. 18: 92:1-92:31 (2017) - 2016
- [j4]Xin Guo, Jun Fan, Ding-Xuan Zhou:
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes. J. Mach. Learn. Res. 17: 89:1-89:34 (2016) - [i2]Shaobo Lin, Xin Guo, Ding-Xuan Zhou:
Distributed Learning with Regularized Least Squares. CoRR abs/1608.03339 (2016) - 2014
- [j3]Wen-Jun Shen, Hau-San Wong
Introduction to the Peptide Binding Problem of Computational Immunology: New Results. Found. Comput. Math. 14(5): 951-984 (2014) - 2012
- [i1]Wen-Jun Shen, Hau-San Wong, Quan-Wu Xiao, Xin Guo, Stephen Smale:
Towards a Mathematical Foundation of Immunology and Amino Acid Chains. CoRR abs/1205.6031 (2012) - 2010
- [j2]Xin Guo
Learning gradients via an early stopping gradient descent method. J. Approx. Theory 162(11): 1919-1944 (2010) - [j1]Lei Shi, Xin Guo
Hermite learning with gradient data. J. Comput. Appl. Math. 233(11): 3046-3059 (2010)
Coauthor Index
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