CV

Education

• B.S. in Mathematics, The Chinese University of Hong Kong, 2018
• M.S. in Mathematics, University of Bonn, 2022
• Ph.D in Informatics, University of Basel, 2025 (expected)

Summer School

• Oxford Machine Learning, July 2023
• Princeton Machine Learning Theory, June 2023
• Topics in Modern Machine Learning, University of Genova, June 2023

Skills

• Latex
• Python
  • pandas
  • sklearn
  • pytorch
• Matlab
• C++

Languages

• Chinese (mother tongue)
• English (C1)
• German (C1)
• French (A2)

Publications

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

Tin Sum Cheng, Aurelien Lucchi, Ivan Dokmanic, Anastasis Kratsios, and David Belius. A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. Advances in Neural Information Processing Systems, 36, 2023.

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, and David Belius. Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. arXiv preprint:2402.01297 , 2024.

Teaching

Foundations of Deep Learning (2022)

Foundations of Deep Learning (2023)