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SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
27 October 2017
Alon Brutzkus
Amir Globerson
Eran Malach
Shai Shalev-Shwartz
MLT
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Papers citing
"SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data"
2 / 52 papers shown
Title
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
Peter L. Bartlett
D. Helmbold
Philip M. Long
23
116
0
16 Feb 2018
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
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