About Me

I will be joining Princeton University as a Ph.D. student this fall.

I recently obtained M.S. in Machine Learning from Carnegie Mellon University. Before going to CMU, I received B.S. in Computer Science from Shanghai Jiao Tong University in 2021, and I was a member of the ACM Honors Class.

I have been working with Prof. Rong Ge since July 2020, and with Prof. Yuanzhi Li since February 2022.

Email: yunwei DOT ren AT princeton DOT edu

Research Interests

I am broadly interested in the optimization-related aspects of Deep Learning Theory.

Publications

(alpha-beta) indicates alphabetical ordering

• On the Importance of Contrastive Loss in Multimodal Learning.
  Yunwei Ren, Yuanzhi Li.
  Preprint, 2023.

• Depth-Separation with Multilayer Mean-Field Networks. [Slides]
  Yunwei Ren, Mo Zhou, Rong Ge.
  International Conference on Learning Representations (ICLR), 2023. (Spotlight)

• Understanding Deflation Process in Over-parametrized Tensor Decomposition.
  (alpha-beta) Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou.
  Conference on Neural Information Processing Systems (NeurIPS), 2021.

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