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Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex
  Optimization

Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization

19 March 2023
Peiyuan Zhang
Jiaye Teng
J. Zhang
ArXivPDFHTML

Papers citing "Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization"

3 / 3 papers shown
Title
Optimistic Rates: A Unifying Theory for Interpolation Learning and
  Regularization in Linear Regression
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
Lijia Zhou
Frederic Koehler
Danica J. Sutherland
Nathan Srebro
87
24
0
08 Dec 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Satyen Kale
Ayush Sekhari
Karthik Sridharan
173
28
0
11 Jul 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
1