Teng, Jiaye

12 publications

NeurIPS 2025 Accelerating Feature Conformal Prediction via Taylor Approximation Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng

AISTATS 2025 Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang

ICLR 2025 Minimax Optimal Two-Stage Algorithm for Moment Estimation Under Covariate Shift Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng

ICLR 2023 Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models Kaiyue Wen, Jiaye Teng, Jingzhao Zhang

ICML 2023 Finding Generalization Measures by Contrasting Signal and Noise Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan

ICML 2023 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

ICLR 2023 Predictive Inference with Feature Conformal Prediction Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

NeurIPS 2023 Towards Data-Algorithm Dependent Generalization: A Case Study on Overparameterized Linear Regression Jing Xu, Jiaye Teng, Yang Yuan, Andrew Yao

AISTATS 2022 Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? a Theoretical Analysis Jiaye Teng, Weiran Huang, Haowei He

ICML 2022 Fighting Fire with Fire: Avoiding DNN Shortcuts Through Priming Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao

ICLR 2022 Towards Understanding Generalization via Decomposing Excess Risk Dynamics Jiaye Teng, Jianhao Ma, Yang Yuan

ICML 2021 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP Jiaye Teng, Zeren Tan, Yang Yuan