Yihang Chen (2024) ‒ LIONS ‐ EPFL

Research Interests

Large Language Models: Safety in LLMs
Applied Probability: Stochastic Control, Optimal Transport, Generative Flow Networks
AutoML: Pruning, Neural Architecture Search

Biography

I received the M.S. degree from the School of Computer and Communication Sciences at EPFL in February 2024, advised by Prof. Volkan Cevher. In March the same year I started a 6 months internship at LIONS. In September 2024 I got admitted to the PhD program at UCLA.

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High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Y. Chen; F. Liu; T. Suzuki; V. Cevher

2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.

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Generalization of Scaled Deep ResNets in the Mean-Field Regime

Y. Chen; F. Liu; Y. Lu; G. Chrysos; V. Cevher

2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.

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Contact

e-mail: Yihang Chen

people page

Research Interests

Biography

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Contact

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