(α-β order) denotes alphabetical ordering, * denotes equal contribution.
Benign Overfitting in Out-of-Distribution Generalization of Linear Models [arXiv]
Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
International Conference on Learning Representations (ICLR) 2025
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift [arXiv]
Jiawei Ge*, Shange Tang*, Jianqing Fan, Cong Ma, Chi Jin
International Conference on Learning Representations (ICLR) 2024
On the Provable Advantage of Unsupervised Pretraining [arXiv]
Jiawei Ge*, Shange Tang*, Jianqing Fan, Chi Jin
International Conference on Learning Representations (ICLR) 2024
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network [arXiv]
Mo Zhou, Rong Ge, Chi Jin
Conference of Learning Theory (COLT) 2021.
Provable Meta-Learning of Linear Representations [arXiv]
Nilesh Tripuraneni, Chi Jin, Michael I. Jordan
International Conference on Machine Learning (ICML) 2021.
On the Theory of Transfer Learning: The Importance of Task Diversity [arXiv]
Nilesh Tripuraneni, Michael I. Jordan, Chi Jin
Neural Information Processing Systems (NIPS) 2020.
On the Local Minima of the Empirical Risk [arXiv]
Chi Jin*, Lydia T. Liu*, Rong Ge, Michael I. Jordan
(Spotlight) Neural Information Processing Systems (NIPS) 2018.
Differentially Private Data Releasing for Smooth Queries [paper]
Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang
Journal of Machine Learning (JMLR) 2015.
Dimensionality Dependent PAC-Bayes Margin Bound [paper]
Chi Jin, Liwei Wang
Neural Information Processing Systems (NIPS) 2012.