Tin Sum Cheng

According to our database, Tin Sum Cheng authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression.

Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius

CoRR, 2024

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum.

Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, Ivan Dokmanic, David Belius

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023