Jiaye Teng 滕佳烨
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滕佳烨
上海财经大学助理教授
邮箱:tjy20 [at] mails.tsinghua.edu.cn
研究方向:理论机器学习
办公室:1307
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关于我
我叫滕佳烨,现在是上海财经大学统计与数据科学学院的一名助理教授(2024-)。我的博士就读于清华大学交叉信息研究院 (2020-2024),师从袁洋教授。我曾在普林斯顿大学访问 (2023),师从Sanjeev Arora。我的本科就读于上海财经大学统计与管理学院统计学实验班 (2016-2020),导师是柏杨教授。我当前正在我的主要研究方向是神经网络泛化理论。此外,我还关注统计理论与机器学习的结合,包括因果推断、共形预测等。如果你有兴趣,欢迎和我联系!
实验室相关信息,请查看这里。
招生启事
实验室长期招募合作学生,并有博士生招生名额。如有兴趣,请先阅读实验室规范判断实验室是否适合你。
最近动态
2024/03: 即将以助理教授身份加入上海财经大学统计与管理学院。
2023/09: 将在ICLR 2024举办一场workshop,欢迎投稿! BGPT
2023/09: One paper accepted in NeurIPS 2023!
2023/05: Two papers accepted in ICML 2023!
2023/01: 我们办了个贼酷的seminar!欢迎参加! International Seminar on Foundational Artificial Intelligence (FAI-Seminar)
2023/01: Two papers accepted in ICLR 2023!
学习资料
高维概率简介
生存分析简介
神经网络泛化理论
发表论文
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang (张臻), Xin Liu (刘鑫), Shaoli Wang (王绍立), Jiaye Teng†
International Conference on Learning Representations (ICLR) 2025
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization [arxiv]
Peiyuan Zhang (张沛原) , Jiaye Teng , Jingzhao Zhang (张景昭)
International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
When do Models Generalize? A Perspective from Data-Algorithm Compatibility [arxiv]
Jing Xu* (许靖), Jiaye Teng* , Yang Yuan (袁洋), Andrew Chi-Chih Yao (姚期智)
Conference on Neural Information Processing Systems (NeurIPS) 2023
Finding Generalization Measures by Contrasting Signal and Noise [paper]
Jiaye Teng*, Bohang Zhang*(张博航), Ruichen Li*(李瑞晨), Haowei He*(何昊伟), Yequan Wang(王业全), Yan Tian(田燕), Yang Yuan(袁洋)
International Conference on Machine Learning (ICML) 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning [arxiv]
Chenzhuang Du*(杜晨壮), Jiaye Teng*, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan(袁洋), Hang Zhao(赵行)
International Conference on Machine Learning (ICML) 2023
Predictive Inference with Feature Conformal Prediction [arxiv]
Jiaye Teng*, Chuan Wen* (汶川), Dinghuai Zhang* (张鼎怀), Yoshua Bengio, Yang Gao (高阳), Yang Yuan (袁洋)
International Conference on Learning Representations (ICLR) 2023
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models [arxiv] Kaiyue Wen* (温凯越), Jiaye Teng*, Jingzhao Zhang (张景昭)
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* (马鉴昊) , Yang Yuan (袁洋)
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* (黄维然), Haowei He* (何昊伟)
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* (谭泽人), Yang Yuan (袁洋)
International Conference on Machine Learning (ICML) 2021
学术服务
荣誉奖项
- 2025 CCF理论计算机科学博士学位论文激励计划(提名)
- 2024 清华大学优秀博士学位论文,清华大学
- 2024 清华大学优秀毕业生,清华大学
- 2023 王大中奖学金,清华大学
- 2022 国家奖学金,清华大学
- 2022 NeurIPS, Top Reviewer
- 2020 上海市优秀毕业生
- 2018 国家奖学金,上海财经大学
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