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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"

6 / 6 papers shown
Title
Stability and Generalization for Minibatch SGD and Local SGD
Stability and Generalization for Minibatch SGD and Local SGD
Yunwen Lei
Tao Sun
Mingrui Liu
32
3
0
02 Oct 2023
Fantastic Generalization Measures are Nowhere to be Found
Fantastic Generalization Measures are Nowhere to be Found
Michael C. Gastpar
Ido Nachum
Jonathan Shafer
T. Weinberger
26
13
0
24 Sep 2023
Select without Fear: Almost All Mini-Batch Schedules Generalize
  Optimally
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
30
5
0
03 May 2023
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
95
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
180
29
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
258
36,371
0
25 Aug 2016
1