#overparameterized — Public Fediverse posts

'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

'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

'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

https://openreview.net/forum?id=fempQstMbV

#interpolated #deep #overparameterized

'Foolish Crowds Support Benign Overfitting', by Niladri S. Chatterji, Philip M. Long.

http://jmlr.org/papers/v23/21-1199.html

#overparameterized #sparse #overfitting