Xin Guo

Orcid: 0000-0002-7465-9356

Affiliations:

Hong Kong Polytechnic University, Department of Applied Mathematics, Hong Kong
Duke University, Department of Statistical Science, Durham, NC, USA (2013 - 2014)
City University of Hong Kong, Department of Mathematics, Hong Kong (PhD 2011)

According to our database¹, Xin Guo authored at least 15 papers between 2010 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2022

Online gradient descent algorithms for functional data learning.

[BibT_eX]

[DOI]

J. Complex., 2022

Capacity dependent analysis for functional online learning algorithms.

[BibT_eX]

[DOI]

Xin Guo

Zheng-Chu Guo

Lei Shi

CoRR, 2022

2021

The uses and abuses of an age-period-cohort method: On the linear algebra and statistical properties of intrinsic and related estimators.

[BibT_eX]

[DOI]

Math. Found. Comput., 2021

Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods.

[BibT_eX]

[DOI]

Big Data Res., 2021

2020

Preface of the special issue on analysis in data science: Methods and applications.

[BibT_eX]

[DOI]

Xin Guo

Lei Shi

Math. Found. Comput., 2020

Modeling interactive components by coordinate kernel polynomial models.

[BibT_eX]

[DOI]

Xin Guo

Lexin Li

Qiang Wu

Math. Found. Comput., 2020

Distributed Minimum Error Entropy Algorithms.

[BibT_eX]

[DOI]

Xin Guo

Ting Hu

Qiang Wu

J. Mach. Learn. Res., 2020

Kernel-based L_2-Boosting with Structure Constraints.

[BibT_eX]

[DOI]

Yao Wang

Xin Guo

Shao-Bo Lin

CoRR, 2020

2019

Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Distributed Learning with Regularized Least Squares.

[BibT_eX]

[DOI]

Shaobo Lin

Xin Guo

Ding-Xuan Zhou

J. Mach. Learn. Res., 2017

2016

Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes.

[BibT_eX]

[DOI]

Xin Guo

Jun Fan

Ding-Xuan Zhou

J. Mach. Learn. Res., 2016

2014

Introduction to the Peptide Binding Problem of Computational Immunology: New Results.

[BibT_eX]

[DOI]

Found. Comput. Math., 2014

2012

Towards a Mathematical Foundation of Immunology and Amino Acid Chains

[BibT_eX]

[DOI]

CoRR, 2012

2010

Hermite learning with gradient data.

[BibT_eX]

[DOI]

Lei Shi

Xin Guo

Ding-Xuan Zhou

J. Comput. Appl. Math., 2010

Learning gradients via an early stopping gradient descent method.

[BibT_eX]

[DOI]

Xin Guo

J. Approx. Theory, 2010

Xin Guo

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