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Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression


Feb 01, 2023
Mo Zhou, Rong Ge

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Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup


Oct 24, 2022
Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

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* 50 pages 

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


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

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* 53 pages, 19 figures 

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Plateau in Monotonic Linear Interpolation -- A "Biased" View of Loss Landscape for Deep Networks


Oct 03, 2022
Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge

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A Regression Approach to Learning-Augmented Online Algorithms


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

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Customizing ML Predictions for Online Algorithms


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

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Online Algorithms with Multiple Predictions


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

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Towards Understanding the Data Dependency of Mixup-style Training


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

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* 25 pages, 13 figures 

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Outlier-Robust Sparse Estimation via Non-Convex Optimization


Sep 23, 2021
Yu Cheng, Ilias Diakonikolas, Daniel M. Kane, Rong Ge, Shivam Gupta, Mahdi Soltanolkotabi

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