| 2025 | AISTATS | Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization. | Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang |
| 2025 | ICLR | Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift. | Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng |
| 2023 | ICLR | Predictive Inference with Feature Conformal Prediction. | Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan |
| 2023 | ICLR | Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models. | Kaiyue Wen, Jiaye Teng, Jingzhao Zhang |
| 2023 | ICML | On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. | Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao |
| 2023 | ICML | Finding Generalization Measures by Contrasting Signal and Noise. | Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan |
| 2022 | AISTATS | Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. | Jiaye Teng, Weiran Huang, Haowei He |
| 2022 | ICLR | Towards Understanding Generalization via Decomposing Excess Risk Dynamics. | Jiaye Teng, Jianhao Ma, Yang Yuan |
| 2022 | ICML | Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. | Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao |
| 2021 | ICML | T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. | Jiaye Teng, Zeren Tan, Yang Yuan |