Jiaye Teng - RankMe

32 papers A* 9A 2Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks. CoRR Wenquan Ma, Yang Sui, Jiaye Teng, Bohan Wang, Jing Xu, Jingqin Yang
2026	J	`jnl`	Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better. CoRR Yizhou Min, Yizhou Lu, Lanqi Li, Zhen Zhang, Jiaye Teng
2025	J	`jnl`	Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers. CoRR Zixuan Gong, Jiaye Teng, Yong Liu
2025	A	`conf`	Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization. AISTATS Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang
2025	J	`jnl`	Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape. CoRR Xinyuan Song, Jiaye Teng, Ziye Ma
2025	A*	`conf`	Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift. ICLR Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng
2025	J	`jnl`	Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift. CoRR Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng
2025	J	`jnl`	Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability. CoRR Mingyi Zheng, Hongyu Jiang, Yizhou Lu, Jiaye Teng
2025	J	`jnl`	Theoretical Modeling of LLM Self-Improvement Training Dynamics Through Solver-Verifier Gap. CoRR Yifan Sun, Yushan Liang, Zhen Zhang, Jiaye Teng
2025	J	`jnl`	What Makes Looped Transformers Perform Better Than Non-Recursive Ones (Provably). CoRR Zixuan Gong, Jiaye Teng, Yong Liu
2024	J	`jnl`	Predictive Inference With Fast Feature Conformal Prediction. CoRR Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng
2023	A*	`conf`	Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models. ICLR Kaiyue Wen, Jiaye Teng, Jingzhao Zhang
2023	A*	`conf`	Finding Generalization Measures by Contrasting Signal and Noise. ICML Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan
2023	J	`jnl`	High-resolution probabilistic load forecasting: A learning ensemble approach. J. Frankl. Inst. Chenbei Lu, Jinhao Liang, Wenqian Jiang, Jiaye Teng, Chenye Wu
2023	J	`jnl`	Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization. CoRR Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang
2023	A*	`conf`	On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. ICML Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
2023	J	`jnl`	On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. CoRR Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
2023	A*	`conf`	Predictive Inference with Feature Conformal Prediction. ICLR Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
2023	A*	`conf`	Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression. NeurIPS Jing Xu, Jiaye Teng, Yang Yuan, Andrew C. Yao
2022	J	`jnl`	Anomaly Detection with Test Time Augmentation and Consistency Evaluation. CoRR Haowei He, Jiaye Teng, Yang Yuan
2022	A	`conf`	Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. AISTATS Jiaye Teng, Weiran Huang, Haowei He
2022	A*	`conf`	Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. ICML Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
2022	J	`jnl`	Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. CoRR Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
2022	J	`jnl`	Predictive Inference with Feature Conformal Prediction. CoRR Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
2022	J	`jnl`	Realistic Deep Learning May Not Fit Benignly. CoRR Kaiyue Wen, Jiaye Teng, Jingzhao Zhang
2022	J	`jnl`	Relaxing the Feature Covariance Assumption: Time-Variant Bounds for Benign Overfitting in Linear Regression. CoRR Jing Xu, Jiaye Teng, Andrew Chi-Chih Yao
2022	A*	`conf`	Towards Understanding Generalization via Decomposing Excess Risk Dynamics. ICLR Jiaye Teng, Jianhao Ma, Yang Yuan
2021	J	`jnl`	Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. CoRR Jiaye Teng, Weiran Huang
2021	A*	`conf`	T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. ICML Jiaye Teng, Zeren Tan, Yang Yuan
2021	J	`jnl`	T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP. CoRR Jiaye Teng, Zeren Tan, Yang Yuan
2021	J	`jnl`	Towards Understanding Generalization via Decomposing Excess Risk Dynamics. CoRR Jiaye Teng, Jianhao Ma, Yang Yuan
2020	J	`jnl`	Inject Machine Learning into Significance Test for Misspecified Linear Models. CoRR Jiaye Teng, Yang Yuan