Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Rong Ge

Rong Ge

Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression

Feb 01, 2023
Mo Zhou, Rong Ge

Figure 1 for Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression

Figure 2 for Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression

Access Paper or Ask Questions

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Oct 07, 2022
Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge

Figure 1 for Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Figure 2 for Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Figure 3 for Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Figure 4 for Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

* 53 pages, 19 figures

Access Paper or Ask Questions

A Regression Approach to Learning-Augmented Online Algorithms

May 25, 2022
Keerti Anand, Rong Ge, Amit Kumar, Debmalya Panigrahi

Figure 1 for A Regression Approach to Learning-Augmented Online Algorithms

Access Paper or Ask Questions

Customizing ML Predictions for Online Algorithms

May 18, 2022
Keerti Anand, Rong Ge, Debmalya Panigrahi

Figure 1 for Customizing ML Predictions for Online Algorithms

Figure 2 for Customizing ML Predictions for Online Algorithms

Figure 3 for Customizing ML Predictions for Online Algorithms

Access Paper or Ask Questions

Online Algorithms with Multiple Predictions

May 08, 2022
Keerti Anand, Rong Ge, Amit Kumar, Debmalya Panigrahi

Access Paper or Ask Questions

Towards Understanding the Data Dependency of Mixup-style Training

Oct 14, 2021
Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge

Figure 1 for Towards Understanding the Data Dependency of Mixup-style Training

Figure 2 for Towards Understanding the Data Dependency of Mixup-style Training

Figure 3 for Towards Understanding the Data Dependency of Mixup-style Training

Figure 4 for Towards Understanding the Data Dependency of Mixup-style Training

* 25 pages, 13 figures

Access Paper or Ask Questions