Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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seminars
Machine Learning Theory
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When do machine learning algorithms work and why? How do we formalize what it means for an algorithm to learn from data? How do we use mathematical thinking to design better machine learning methods? This course focuses on developing a theoretical understanding of the statistical properties of learning algorithms.
talks
Invited Talk
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Talk
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Invited Talk
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Poster
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Invited Talk
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Invited Talk
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Talk
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Poster
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[Poster] 第三届全国统计与数据科学联合会议
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teaching
Advanced Econometrics I
Teaching asisteance, Postgraduate course, School of Economics, Xiamen University, 2019
Graduate-level econometrics covering linear models, estimation and inference, heteroskedasticity and autocorrelation, endogeneity and instrumental variables, and panel data methods.
Real Analysis
Teaching asisteance, Undergraduate course, School of Economics, Xiamen University, 2021
Rigorous introduction to Lebesgue measure and integration, Lp spaces, and convergence theorems, with foundations for modern probability and statistical inference.
Advanced Probability Theory
Teaching asisteance, Postgraduate course, School of Economics, Xiamen University, 2021
Measure-theoretic probability covering sigma-algebras, integration, modes of convergence, martingales, and limit theorems with statistical applications.
Real Analysis
Teaching asisteance, Undergraduate course, School of Economics, Xiamen University, 2022
Rigorous introduction to Lebesgue measure and integration, Lp spaces, and convergence theorems, with foundations for modern probability and statistical inference.
Probability Introduction
Teaching asisteance, Undergraduate course, School of Economics, Xiamen University, 2022
Introductory probability course covering sample spaces, random variables, distributions, expectation, limit theorems, and basic statistical inference.