Shange Tang

I am a fourth year Ph.D. student in the Department of Operations Research and Financial Engineering at Princeton University under the supervision of Professor Jianqing Fan and Professor Chi Jin. Before coming to Princeton, I received my bachelor's degree from School of Mathematical Sciences at Peking University in 2021. I am interested in statistics and machine learning. E-mail: shangetang [@] princeton [DOT] edu

Research

My research interests include

• Unsupervised Pretraining

• Transfer Learning

• Domain Adaptation

• Clustering

• Factor Models

Recent Publications

1. Jiawei Ge*, Shange Tang*, Jianqing Fan, Chi Jin, "On the Provable Advantage of Unsupervised Pretraining. ", International Conference on Learning Representations (ICLR) 2024, spotlight. [arXiv]

2. Jiawei Ge*, Shange Tang*, Jianqing Fan, Cong Ma, Chi Jin, "Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ", International Conference on Learning Representations (ICLR) 2024. [arXiv]

3. Shange Tang, Soham Jana, Jianqing Fan, "Factor Adjusted Spectral Clustering for Mixture Models. ", arXiv preprint arXiv:2408.12564 (2024). [arXiv]

* denotes equal contribution.

A brief cv.