Yiwen Kou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Networks

Diffusion Models

Top Venues

Publications

Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
Matching the Statistical Query Lower Bound for k-sparse Parity Problems with Stochastic Gradient Descent. CoRR (2024)
Zixiang Chen, Jun Han, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
Guided Discrete Diffusion for Electronic Health Record Generation. CoRR (2024)
Yiwen Kou, Zixiang Chen, Quanquan Gu
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. CoRR (2023)
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks. ICML (2023)
Yiwen Kou, Zixiang Chen, Quanquan Gu
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data. NeurIPS (2023)
Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study. ICLR (2023)
Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu
Benign Overfitting for Two-layer ReLU Networks. CoRR (2023)
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
Fast Sampling via De-randomization for Discrete Diffusion Models. CoRR (2023)
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS (2023)
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? CoRR (2023)
Yiwen Kou, Qinyuan Zheng, Yisen Wang
Certified Adversarial Robustness Under the Bounded Support Set. ICML (2022)