Binghui Li

Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression

Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws

Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks

On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics

Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data

Understand Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics