'Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization', by Yaoyu Zhang, Leyang Zhang, Zhongwang Zhang, Zhiwei Bai.
http://jmlr.org/papers/v26/24-0192.html
#overparameterization #overparameterized #deep
'Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization', by Yaoyu Zhang, Leyang Zhang, Zhongwang Zhang, Zhiwei Bai.
http://jmlr.org/papers/v26/24-0192.html
#overparameterization #overparameterized #deep
'Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent', by Jiaming Xu, Hanjing Zhu.
http://jmlr.org/papers/v25/23-0740.html
#overparameterized #layers #neurons
'The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective', by Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar.
http://jmlr.org/papers/v25/22-1312.html
#regularization #overparameterized #augmentation
'Benign Overfitting of Constant-Stepsize SGD for Linear Regression', by Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade.
http://jmlr.org/papers/v24/21-1297.html
#overfitting #overparameterized #sgd
'Bagging in overparameterized learning: Risk characterization and risk monotonization', by Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla.
http://jmlr.org/papers/v24/23-0887.html
#bagging #overparameterized #prediction
'Revisiting minimum description length complexity in overparameterized models', by Raaz Dwivedi, Chandan Singh, Bin Yu, Martin Wainwright.
http://jmlr.org/papers/v24/21-1133.html
#overparameterized #complexity #generalization
'Benign overfitting in ridge regression', by Alexander Tsigler, Peter L. Bartlett.
http://jmlr.org/papers/v24/22-1398.html
#overparameterized #overfitting #ridge
Deep Double Descent via Smooth Interpolation
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
Distributed SGD in overparameterized Linear Regression
'Foolish Crowds Support Benign Overfitting', by Niladri S. Chatterji, Philip M. Long.
http://jmlr.org/papers/v23/21-1199.html
#overparameterized #sparse #overfitting