Yiwen Kou

According to our database, Yiwen Kou authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Fast Sampling via De-randomization for Discrete Diffusion Models.

Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu

CoRR, 2023

Benign Overfitting for Two-layer ReLU Networks.

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu

CoRR, 2023

Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data.

Yiwen Kou, Zixiang Chen, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Why Does Sharpness-Aware Minimization Generalize Better Than SGD?

Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benign Overfitting in Two-layer ReLU Convolutional Neural Networks.

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu

Proceedings of the International Conference on Machine Learning, 2023

How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study.

Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Certified Adversarial Robustness Under the Bounded Support Set.

Yiwen Kou, Qinyuan Zheng, Yisen Wang

Proceedings of the International Conference on Machine Learning, 2022