Tin Sum Cheng

According to our database, Tin Sum Cheng authored at least 2 papers between 2023 and 2024.

Collaborative distances:

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

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