Jiaye Teng
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Jiaye Teng |
About Me
I am now a Ph.D student at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. I am very fortunate to have Professor Yang Yuan as my advisor. I am now visiting Princeton University, advised by Professor Sanjeev Arora. Previously, I did my undergraduate at Shanghai University of Finance and Economics, advised by Professor Yang Bai.
Research Interests
My research interests lie in the machine learning theory, especially in the generalization of neural networks. I am also interested in statistical learning theory, including conformal inference and causal inference.
If you want to have a chat, always feel free to contact me through Email!
News
Publications
When do Models Generalize? A Perspective from Data-Algorithm Compatibility [arxiv]
Jing Xu* , Jiaye Teng* , Yang Yuan, Andrew Chi-Chih Yao
Conference on Neural Information Processing Systems (NeurIPS) 2023
Finding Generalization Measures by Contrasting Signal and Noise [paper]
Jiaye Teng*, Bohang Zhang*, Ruichen Li*, Haowei He*, Yequan Wang, Yan Tian, Yang Yuan International Conference on Machine Learning (ICML) 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning [arxiv]
Chenzhuang Du*, Jiaye Teng*, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
International Conference on Machine Learning (ICML) 2023
Predictive Inference with Feature Conformal Prediction [arxiv]
Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan
International Conference on Learning Representations (ICLR) 2023
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models [arxiv]
Kaiyue Wen*, Jiaye Teng*, Jingzhao Zhang
International Conference on Learning Representations (ICLR) 2023
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming [arxiv] [paper]
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
International Conference on Machine Learning (ICML) 2022
Towards Understanding Generalization via Decomposing Excess Risk Dynamics [arxiv] [paper]
Jiaye Teng* , Jianhao Ma* , Yang Yuan
International Conference on Learning Representations (ICLR) 2022
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis [arxiv]
Jiaye Teng* , Weiran Huang* , Haowei He*
International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP [arxiv] [paper]
Jiaye Teng* , Zeren Tan* , Yang Yuan
International Conference on Machine Learning (ICML) 2021
Academic Service
- Seminar Organizer (Chinese): International Seminar on Foundational Artificial Intelligence (FAI-Seminar)
- Seminar Organizer: Foundations Of Data Science (FODS)
- Reviewer: ICML, NeurIPS, ICLR, AISTATS, T-PAMI
Honors
- Top Reviewer in NeurIPS 2022
- 2022 National Scholarship at Tsinghua University