Lyu, Kaifeng
32 publications
NeurIPS
2025
Adam Reduces a Unique Form of Sharpness: Theoretical Insights near the Minimizer Manifold
ICLR
2025
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
ICML
2023
Understanding Incremental Learning of Gradient Descent: A Fine-Grained Analysis of Matrix Sensing
NeurIPS
2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound